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Revised Curriculum

Programmes & majors videos

Postgraduate Programme | 1 Year | FULL-TIME

For whom?

Consider one additional year of acquiring post-MSc research training, if you’d like to acquire more research experience or increase your chances of qualifying for a PhD research project.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Genomic & Molecular Epidemiology
  • Erasmus Summer Programme (ESP)

    For more information about the Erasmus Summer Programme (ESP), please go to:

    www.erasmussummerprogramme.nl

    Master

    Master of Science in Health Sciences | 1 Year | FULL-TIME | 70 EC points

    For whom?

    This MSc programme focuses on training students who are already educated in research methodology, but wish to take a step further in developing a successful career in health science research. This programme is also interesting if you want to enhance your chances of pursuing a PhD.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Medical Psychology
  • Biostatistics
  • Health Decision Sciences
  • Genomic & Molecular Epidemiology
  • Research Master in Clinical Research | 2 Years | FULL-TIME | 120 EC points

    For whom?

    This Research Master programme provides a unique opportunity for ambitious students with a Bachelor degree in Medicine or Biomedical Sciences.There is a great need for clinicians who can combine patient care and research. This Research Master programme helps medical students to become clinical investigators and pursue an academic career simultaneously.

    If you are a medical student of Erasmus MC, we have accustomed the Research Master programme to your Master in Medicine.

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    Research Master in Health Sciences | 2 Years | FULL-TIME | 120 EC points

    For whom?

    Just graduated with a Bachelor Degree in clinical, public health or biomedical sciences and want to start making substantial contributions to future developments in medicine as a researcher? Then this Research Master is for you! With a wide range of majors and guidance from some of the greatest minds in these fields, you will be well on your way to a very successful research career.


    If you are a medical student of Erasmus MC, we have accustomed the Research Master programme to your Bachelor and Master in Medicine.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Medical Psychology
  • Biostatistics
  • Health Decision Sciences
  • Genomic & Molecular Epidemiology
  • Study Towards a PhD

    Postgraduate Programme | 1 Year | FULL-TIME

    For whom?

    Consider one additional year of acquiring post-MSc research training, if you’d like to acquire more research experience or increase your chances of qualifying for a PhD research project.

    Read More
  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Genomic & Molecular Epidemiology
  • Executive education

    Executive Master of Science in Health Sciences | 2(+)years | Part-time | 70 EC points

    For whom?

    This world-class programme is ideal for the working health professional, who wishes to take a step further in developing a successful career in health science research. The programme can be fully customized to fulfill your professional and personal aspirations and fit your busy schedule.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Medical Psychology
  • Biostatistics
  • Health Decision Sciences
  • Genomic & Molecular Epidemiology
  • Courses

    02 Mar 2022 - 26 Apr 2022
    Scientific Integrity [LLS06]

    About this course

    These days doing research is a career. With this career comes an environment with incentives, pressures and temptations that may undermine the scientific quality of the work. How do you keep doing what is right when that may harm your career (at the very least at short notice)? We look at the history of science as a career choice. We will discuss what science is, and we will discuss some of the reasons researchers experience pressure to do less well than they intended. We will do this with the help of the movie 'On being a scientist'.

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    04 Apr 2022 - 08 Apr 2022
    Advanced Decision Modeling [EL006]

    About this course

    This week-long, project-based course aims to provide students with an understanding of advanced methods used in decision-analytic modeling and cost-effectiveness analyses. These include topics like the latest methods for calibration and validation, quantifying uncertainty, and consideration of heterogeneity of patient benefits and equity issues. The course combines lectures and readings to give theoretical foundation and perspectives with in depth project work and presentations to give practical concrete understanding in a way that furthers students’ specific research goals.

    Course Structure (note: the online version of the course may differ somewhat):
    Each day will begin with a lecture by Professor Goldhaber-Fiebert on an advanced methods topic. After the lecture, lab sessions will commence with students working on their projects as Professor Goldhaber-Fiebert circulates through the room and students assist each other in a collaborative environment. Most days Professor Goldhaber-Fiebert will also give an afternoon lecture. In addition, at the end of days 2, 3, and 4, Professor Goldhaber-Fiebert will give an additional, shorter, informal lecture (i.e., "a chalk talk") on a methods topic tailored to specific issues that are arising within students’ projects. Additionally, throughout the week, Professor Goldhaber-Fiebert will have one-on-one meetings with students about their projects.

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    04 Apr 2022 - 08 Apr 2022
    Planning and Evaluation of Screening [EL022]

    About this course

    This course focuses on the design and the evaluation of health care programmes for the early detection of disease or screening. Screening takes place in a population without symptoms of the disease. The screening test characteristics have consequences for the favourable (improvement of prognosis by early detection, life years saved and deaths prevented) and unfavourable (overdiagnosis, unnecessary treatments) effects of screening.


    There are a number of designs for the assessment of the effectiveness of screening, such as randomized-controlled trials, observational prospective studies and case control studies. The pros and cons of each of these designs will be discussed. Evaluation methodologies, such as cost-effectiveness, cost-utility and technology assessment will be explained, including the concepts of quality adjustment of life years and of time preference. Detailed case studies include cervical, breast and prostate cancer screening, genetic screening, youth health care and screening for tuberculosis, e.g. for high risk groups. Several computer aids for the evaluation of screening are presented.

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    07 Feb 2022 - 11 Feb 2022
    Using R for Decision Modeling in Health Technology Assessment [EL005]

    About this course

    This course aims to teach how to build decision models in R to students who have a basic understanding of health decision science.

    • The course combines lectures with R coding exercise.
    • The course is project-based. You are encouraged to apply the theory and skills you learn during this course to a decision problem you select yourself.

    More detailed information about each session will be provided in the syllabus.

    Attendance of all lectures and practicums is highly recommended in order to be able to complete the assignments and case example successfully. Each day builds on knowledge and skills from the previous day. Clarification of the material taught is best done in the interactive teaching environment provided during classroom sessions.


    Due to popular demand and limited places, a second edition of this course is planned for May 2021.

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    07 Feb 2022 - 11 Feb 2022
    Preventing Failed Interventions in Behavioral Research [EL027]

    About this course

    The success and common risk factors of trials

    This course elaborates on successful ingredients for different phases of an intervention study: design, data collection and implementation. The focus is on learning from encountered difficulties, mistakes and failures from previous research and researchers. Questions that will be addressed are for instance:

    • How do you choose the most suitable research design?
    • How do you ensure that the protocol is followed?
    • How do you implement your intervention?

    The assessment of the course will exist of a short presentation (pitch) of a critical appraisal of an intervention study, preferably your own.

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    07 Mar 2022 - 16 Mar 2022
    Public Health Across the Life Course [EL024]

    About this course

    Read More

    09 May 2022 - 13 May 2022
    Qualitative Research Methods in Medicine [EL030]

    About this course

    Qualitative research is becoming more prominent in medicine and health care. In this 5-day course, students will be introduced to the basic principles of qualitative research methods in medicine. Students will be equipped with the necessary knowledge and skills to design, conduct and report on qualitative research. In addition, the basic principles of data-analysis using the qualitative data analysis program NVivo will be taught.

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    09 May 2022 - 27 May 2022
    Biostatistics I - Spring [CK020s]

    About this course

    This course provides an introduction to the basic concepts and techniques of statistical data analysis. The course starts with a presentation of fundamental notions of statistics and statistical inference under uncertainty. The course then continues with an in-depth presentation of classical regression models, namely, linear regression for continuous data, logistic regression for dichotomous data. Classical statistical parameter and non-parametric statistical tests are linked to these models. For each modeling framework, a detailed discussion is given on how to build the model to answer the scientific questions of interest, estimate the model’s parameters, assess its assumptions, and finally, interpret the results of the analysis.


    The course will be explanatory rather than mathematically rigorous, emphasizing application such that participants will obtain a clear view of the different modeling approaches and how they should be used in practice. To this end, the course includes several computer sessions, during which participants will learn to work with the R statistical language and implement the methods discussed in the theory sessions.


    Note: the spring edition of this course is not available to students in the NIHES degree programmes.

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    10 Jan 2022 - 10 Jan 2022
    Core competences exam [CK070]

    About this course

    In order to stimulate students to combine the knowledge of different topics and to ensure you have a lasting understanding of the core topics of our field, the core topics of the fall (core) courses are assessed in the combined core competences exam. The core competences exam is a digital multiple choice exam that covers all the core knowledge obtained during the core courses. The aim of this exam is to ensure that students not only master the course objectives when they finish a course, but also master all core competences required as an epidemiologist or quantitative researcher once they graduate from the programme.

    This exam is graded pass/fail, with a pass corresponding to a score of 60% or higher. The core topics of the following courses are covered in the core competences exam:

    • CK010 Study Design
    • CK020 Biostatistics I
    • CK030 Biostatistics II
    • CK040 Clinical Epidemiology
    • CK050 Principles of Public Health
    • CK060 Selected Topics in Epidemiology

    The core competences exam is only mandatory for students starting their programme in August 2021 or later.

    This course is not eligible for discounts, and is currently only available to NIHES programme students.

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    11 Apr 2022 - 22 Apr 2022
    Repeated Measurements [EL002]

    About this course

    This course covers statistical methods to be used when one or more variables are repeatedly measured in time on the same experimental unit. For instance, in a clinical trial, the outcome variable can be measured at baseline and at different times during the treatment period. In a meta-analysis, the study can be regarded as the experimental unit and the observations of patients within the same study as repeated measurements.

    In the last 10 or 15 years much progress has been made in the development of new methods of analysis. In recent years several of these new methods have been implemented in a wide variety of computer packages.

    The course starts with a short overview of simple methods for analyzing repeated measurements data, followed by a short recap of the most basic concepts of linear algebra needed for the presentation of the most advanced models.

    Then the main focus turns on more advanced methods. For approximately normally distributed repeated measurements outcomes marginal and linear mixed models are introduced. For non-normal responses, first the generalized estimating equations (GEE) approach for marginal inferences is presented, followed by extensions of random effects models to categorical outcomes. All these methods are exemplified using data from of clinical and epidemiological studies.

    Computer practicals in the statistical programming language R will be used to acquire hands on experience in applying these techniques to real data. All code used during the course will be live demonstrated using a web app, which will be made avaliable to participants.


    Participants need to bring their own laptop with certain pre-installed software (instructions will be given before start of the course). The assignment for this course needs to be handed in two weeks after the ending of the course.

    Please note that this courses has a blended design, which means that it includes both online modules and live meetings. The first meeting lasts 1 hour, the following meetings last 2 hours. Class days are listed under 'Course days' above.

    Disclaimer: This course is part of a trial with hybrid courses (can be followed both at Erasmus MC and online). In the event the hybrid setup is no longer possible, the course will be taught fully online in order to ensure all participants are able to join the course. However, we fully intend to organize this course as a hybrid course. Participants will be asked at a later stage to indicate whether they want to participate in class or online - note that there are limited in-class places available.

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    11 Apr 2022 - 14 Apr 2022
    Psychiatric Epidemiology [EL008]

    About this course

    This four-day course focuses on the principles and practice of psychiatric epidemiology. Basic concepts and issues that are specific to both child and adult psychiatric epidemiology are covered. Psychiatric issues that will be used to illustrate concepts and practice of psychiatric epidemiology include: prevalence studies, longitudinal studies, the role of risk and resilience, and genetic epidemiology. Invited speakers will cover particular topics such as migration and psychiatirc disorder, the epidemiology of bipolar disorder, schizophrenia and addiction in more detail.Maximum 40 participants.


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    11 Apr 2022 - 13 Apr 2022
    Mendelian Randomisation [EL018]

    About this course

    With the advent of a very large number of genetic databases and resources, opportunities to conduct Mendelian randomization(MR) studies are quickly increasing. The MR approach proposes using genetic variants as instrumental variables to test or estimate the potential causal effect of a (non-genetic) risk factor on a disease or health-related outcome. When the assumptions are met, the MR approach can overcome the limitations of associations drawn from observational epidemiology and help prioritizing potential targets for pharmaceutical and public health interventions. This 3-day course aims to provide all the tools necessary first to understand the basic principles of causal inference underlying MR and second to perform an MR study; covering both simple and complex statistical methods for causal inference within one- and two- sample Mendelian randomisation frameworks. During the first day, basic principles of causal inference and mediation analysis will be covered. On the second day, students will apply the concepts learned on day 1 within a Mendelian randomisation framework; including methods to assess instrumental variable assumptions and working on hands-on practical sessions employing online tools like MR-base, but also using specific R-libraries. During day 3, examples of published MR studies will be presented followed by discussion of the topics and a short Q&A session. In addition, students will be able to run specific hands-on analyses with diverse summary level datasets. While theoretical background is provided on all topics, this is by definition a "hands-on" practical course, meaning you will spend most of the day performing MR analyses." Starting this year, the EL018 course will be given on a yearly basis.


    Faculty: Jeremy Labrecque, Caroline Bonilla, Katerina Trajanoska and Fernando Rivadeneira

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    13 Dec 2021 - 30 Jun 2022
    Intervision [LLS05]

    About this course

    Intervision is a method to collaboratively analyse the experiences you (have) come across during your research project and study programme in a practical and systematic way, together with your peers. This analyses leads to solutions, alternatives and advice, and will often also give you more insight into your own functioning.

    Examples of experiences you can discuss during the intervision are: experiences during your research phase (e.g. dealing with hierarchy or work load), personal experiences (e.g. giving presentations), succes experiences (e.g. something you were not looking forward to went very well), or other experiences.

    The intervision sessions serve two purposes: they are meant to teach you reflective skills, and to help you work on solutions to problems you have faced or are facing during your research project and study programme.

    The intervision course consists of 4 meetings (1-2 hours each) spread out through the year, with an introductory meeting in December.

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    14 Feb 2022 - 18 Feb 2022
    Pharmaco-epidemiology and Drug Safety [EL012]

    About this course

    Pharmaco-epidemiology plays a role of increasing importance in the field of drug safety and regulatory decision making. On the one hand, the introduction of computers into clinical practice facilitates the performance of large-scale cohort studies and nested case-control studies. On the other hand, it creates some problems regarding the quality of outcome and exposure assessment. Because the commercial consequences of pharmaco-epidemiological studies may be enormous, discussions in this area may be heated.


    In this course, referring to established drug safety problems will highlight some of the complex aspects of outcome and exposure assessment in pharmaco-epidemiology.


    Teaching Methods

    Plenary teaching as well as computer exercises on the analysis of cohort- and case-control data.

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    14 Feb 2022 - 18 Feb 2022
    Presentation Skills for All Audiences [LLS10]

    About this course

    In this ‘hands-on’ course you will learn how to present your research in a concise, structured and inspiring way. In addition to general presentation skills you will learn how to deliver your message to any audience (lay as well as scientific audiences), special attention will be given to online presentations, pitching your work and answering audience questions.

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    14 Mar 2022 - 18 Mar 2022
    Advanced Clinical Trials [EL013]

    About this course

    The Randomized Controlled Clinical Trial (RCT) is the most reliable method of assessing the efficacy and effectiveness of interventions. In order to provide the best possible evidence-based health care, health professionals must be able to judge the scientific merits and clinical relevance of published RCTs. In addition, they may be involved in designing and performing a RCT and are frequently asked to recruit patients for RCTs.

    Reports published in major medical journals show a surprising variability in methods including choice of study design, blinding, avoidance of bias, outcome measures, effect parameters, sample size calculations, data analysis techniques, presentation of results in tables and figures, and inferences made from the results. Hence, appraising trial reports can be challenging. In designing RCTs many difficult decisions need to be made with respect to these same issues.

    In this course these topics and issues will be addressed and developed through lectures and group practical sessions. A laptop during classroom sessions is required in order to do the practical assignments.

    Disclaimer: This course is part of a trial with hybrid courses (can be followed both at Erasmus MC and online). In the event the hybrid setup is no longer possible, the course will be taught fully online in order to ensure all participants are able to join the course. However, we fully intend to organize this course as a hybrid course. Participants will be asked at a later stage to indicate whether they want to participate in class or online - note that there are limited in-class places available.

    Read More

    14 Dec 2021 - 21 Dec 2021
    Intercultural Communication [LLS07]

    About this course

    The course Intercultural Communication consists of two workshops (3 hours each). The first workshop is aimed at increasing students’ self-awareness and reflexivity regarding their own cultural background and their individual intercultural competences. The second workshop will provide hands-on training to increase these competences, using interactive games, roleplaying, and/or practical exercises. The course and training materials will be based on recent scientific insights in intercultural competence and intercultural training effectiveness.

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    15 Feb 2022 - 23 Feb 2022
    Bayesian Statistics [EL003]

    About this course

    There is growing acknowledgement of the value of Bayesian methods for complex models in biostatistics and epidemiology, in dealing with issues such as multiplicity, measurement error, spatial associations and hierarchical structure. This course will introduce the essentials of Bayesian ideas, emphasizing practical application using exact and simulation-based software. Examples will include the use of Bayesian methods in clinical trials, institutional comparisons, smoothing of disease rates, and frailty models.

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    16 May 2022 - 20 May 2022
    Missing Values in Clinical Research [EL009]

    About this course

    Missing data frequently occur in clinical trials as well as observational studies. An important source for missing data are patients who leave the study prematurely, so-called dropouts. Alternatively, intermittent missing data might occur as well.


    When patients are evaluated only once under treatment, then the presence of dropouts makes it hard to comply with the intention-to-treat (ITT) principle. However, when repeated measurements are taken then one can make use of the observed portion of the data to retrieve information on dropouts. Generally, commonly used methods to analyse incomplete data include complete-case (CC) analysis and, in longitudinal studies, an analysis using the last observation carried forward (LOCF). However, these methods rest on strong and unverifiable assumptions about the missing mechanism. Over the last decades, a number of analysis methods have been suggested, providing a valid estimate for, e.g., the treatment effect under less restrictive assumptions.


    The assumptions regarding the dropout mechanism have been classified by Rubin and co-workers as: missing completely at random (MCAR), missing at random (MAR) and missing not at random (MNAR).


    In the first part of the course we will review various repeated measurements models and indicate under which missing data mechanism they will provide valid estimates of the treatment effect. Finally, since it is impossible to verify that the dropout mechanism is MAR we argue that, to evaluate the robustness of the conclusion, a sensitivity analysis thereby varying the assumption on the dropout mechanism should become a standard procedure when analyzing the results of a clinical trial.


    The second part of the course focuses on multiple imputation (MI), specifically the fully conditional specification (FCS, MICE), which is often considered the gold standard to handle missing data. We will discuss in detail what MI(CE) does, which assumptions need to be met in order for it to perform well, and alternative imputation approaches for settings where MICE is not optimal. The theoretic considerations will be accompanied by demonstrations and short practical sessions in R, and a workflow for doing MI using the R package mice will be proposed.


    Examination for this course consists of two assignments.

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    17 Jan 2022 - 4 Feb 2022
    Psychology in Medicine [EL026]

    About this course

    Medical psychologists study the way somatically ill people think, act and feel. The aim of this course is to teach students about psychological determinants of illness and illness behavior, the psychological consequences of somatic illness and psychological care for somatic patients. First, you’ll learn about ‘normal’ reactions to disease. We’ll then focus on abnormal and pathological reactions to somatic illness and on problems that patients might have in adjusting to their disease.


    We will discuss models that explain why some people find it difficult to adjust to their disease, such as the stress coping model and the stress vulnerability model. Other models that will be discussed in this course include the Health Belief Model, the Theory of Planned Behavior and the Stages of Change Model. These models are widely applied by medical psychologists in interventions for somatic patients. Modern neuroscientific models for understanding behaviour and behavioural disorders will be addressed as well.


    In this course, we will focus on various somatic problems, such as diabetes, inflammatory bowel disease, infertility, organ transplantation and chronic pain.


    Finally, basic theories of doctor-patient communication will be discussed, as communication between doctors and patients has become more and more important.


    The learning method in this course is problem-based learning. Furthermore, you will build a new model for understanding a complex and realistic problem in medical psychology.

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    17 Jan 2022 - 25 Jan 2022
    Clinical Translation of Epidemiology [EL031]

    About this course

    This course aims to bridge the gap between theoretical epidemiological concepts and application in clinical research and medicine. Understanding of basic epidemiological principles is therefore a prerequisite.

    Students will learn how abstract concepts from epidemiological theory can be translated to clinically observable phenomena. Tools and skills taught in this course will be readily applicable in clinical research on etiology, efficacy, diagnosis and prognosis. Successful completion of this course will enable students to continue with more formal training in theoretical causal inference as well as advanced courses in clinical effectiveness and clinical epidemiology.

    The course will consist of interactive lectures, working groups, group presentations and an individual assignment. Through in-class exercises the student will be provided with the opportunity to utilize the knowledge covered in the lectures on a study from the recent literature.

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    18 Jan 2022 - 21 Jan 2022
    Introduction to Medical Writing [LLS01]

    About this course

    During the second semester, full time Master of Science (70 ECTS) students will attend five workshops (three hours each) on how to write and correctly structure readable scientific articles in English.

    During the course participants will:

    • Compare different styles of scientific writing.
    • Turn clumsy and wordy writing into clear, understandable English.
    • Edit various parts of a badly written article.
    • Analyse the discussion section taken from a published article.
    • Write a title, abstract and introduction for a paper about their research.
    • Receive peer review of their writing from other participants and the trainer.

    On Day 4, participants will be offered 30-minute individual review sessions with the trainer. Participants can bring any writing they choose to the session.

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    19 Apr 2022 - 21 Apr 2022
    Quality of Life Measurement [EL023]

    About this course

    In recent years, the patient's assessment of quality of life has developed to an important outcome measure in epidemiology and health services research. Moreover, quality of life measures are increasingly used as criteria in reimbursement policy, most notably in QALY-analysis.

    The aim of the course is to provide the participants first, with a review of the instruments currently available; Second, participants are provided with the knowledge required to select measures of quality of life that are both valid and sensitive for the research objectives of the participants;

    Third, participants will acquire the knowledge and practical skills necessary to adjust standard measures of quality of life instruments for their specific disease area’s, with a special focus on reimbursement. The programme consists of presentations, exercises and demonstrations of practical issues. Participants are invited to email their specific interest at forehand, and these topic will be discussed during the course.

    Programme:

    • Background of ‘health status' and ‘quality of life’.
    • Main principles of construction of a quality of life questionnaire.
    • Available instruments.

    Application.

    • Adaptation instruments for specific research questions: increase sensitivity.
    • QALY-analysis.
    • Practical and ethical value of measuring quality of life in a reimbursement setting.

    A facultative pre-course virtual welcome reception will be hosted on the Friday before the official start of the course. We highly recommend you attend this event as well!

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    21 Feb 2022 - 23 Feb 2022
    Competing Risks and Multi-State Models [EL001]

    About this course

    Competing risks and multi-state models play an increasingly important role in the analysis of time to event data. Regarding competing risks, there is a lot of confusion regarding the proper analysis. The most important reason for the confusion is conceptual: which quantities can be estimated and what do they represent. Once the concepts are understood and the proper type of analysis has been chosen, most analyses are straightforward and can be performed with standard software for survival analysis. For multi-state models with exactly observed transition times, estimation is reasonably straightforward and the real challenge is in (dynamic) prediction.

    The overarching goal of the course is to provide a solid introduction to these topics and thereby increase the analytical validity in this field.

    In the first part of the course we cover competing risks analysis: what are competing risks and when do we need to take them into account; the independence assumption; cause-specific cumulative incidence; cause-specific hazard and subdistribution hazard; competing risks as a multi-state model. We will also cover regression models on both cause-specific and subdistribution hazard (Fine-Gray model) and discuss the difference in interpretation. We show how analyses can be performed with standard software. In the second part of the course, the extension to multi-state models is discussed. The course will cover topics including transition intensities and transition probabilities, nonparametric estimation and regression models, as well as methods to obtain predictions of future events, given the event history and clinical characteristics of a patient. With right censored and/or left truncated data, we show that it is possible to perform many types of analyses using standard software, using the same techniques as in multi-state representation of the competing risks model.

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    21 Feb 2022 - 25 Feb 2022
    The Placebo Effect [EL028]

    About this course

    The placebo effect has been studied since the 1950’s, starting with the original 1955 study of Beecher. In this course we will discuss several postulated underlying mechanisms of the placebo effect (e.g. expectancy, conditioning, affect-modulation, and doctor-patient communication). Furthermore we will debate the existence of the placebo effect and discuss the challenges in measuring the effect. Questions that will be addressed are for instance: can you deliver an open label placebo? Is it ethical to prescribe a placebo when a patient doesn’t know he is getting a sugar pill? Does the placebo effect exist outside of pain medication research? You will experience the strength of the placebo effect first hand in an experiment during the course.

    The assessment of the course will exist of the presentation of a research proposal for studying the placebo effect.

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    21 Mar 2022 - 25 Mar 2022
    Implementation Science [EL007]

    About this course

    Those of us who work in health care know that promising research results or evidence-based guidelines do not easily become standard of clinical care. Therefore, a next step, also known as implementation and dissemination, is needed after the results of a RCT or guidelines are published. The field of implementation science has emerged, and this multidisciplinary field with professionals from medicine, nursing, psychology, pharmacy, engineering, aims to enhance the uptake of research-based knowledge in real-world settings.

    The course includes lectures, guest speakers, and interactive workshops. During these workshops, participants work on a proposal for an implementation (research) project. The proposals will be presented on the last day.


    Topics for lectures/curriculum

    • Introduction to Implementation Science
    • Frameworks, and models in implementation science
    • Individual and contextual influences on implementation
    • Effective implementation & use of change strategies
    • Implementation research & outcomes
    • De-Implementation (de-adoption)
    • Publishing implementation research

    Disclaimer: This course is part of a trial with hybrid courses (can be followed both at Erasmus MC and online). In the event the hybrid setup is no longer possible, the course will be taught fully online in order to ensure all participants are able to join the course. However, we fully intend to organize this course as a hybrid course. Participants will be asked at a later stage to indicate whether they want to participate in class or online - note that there are limited in-class places available.

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    23 Mar 2022 - 25 Mar 2022
    Advanced Analysis of Prognosis Studies [EL014]

    About this course

    Prognostic models are increasingly published in the medical literature each year. But are the results relevant for clinical practice? What are the critical elements of a well developed prognostic model? How can we assume that the model makes accurate predictions for our patients, and not only for the sample that was used to develop the model (generalizability, or external validity)?


    In the course we will address these and other questions from a methodological perspective, using examples from the clinical literature.The participants will be encouraged to participate in interactive discussions and in practical computer exercises.

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    23 May 2022 - 25 May 2022
    Cardiovascular Epidemiology [EL010]

    About this course

    Cardiovascular disease remains the leading cause of morbidity and mortality worldwide. The overall objective of the cardiovascular epidemiology course is to produce epidemiologists and other health scientists with the essential knowledge to carry out high quality research in cardiovascular disease.

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    24 Feb 2022 - 18 May 2022
    Scientific Writing in English for Publication [LLS02]

    About this course

    Writing to be read

    This course will focus on:

    • Communicating the point and importance of your research;
    • Writing a clear and readable scientific article.

    The course consists of 4 half-day sessions and writing assignments that that progressively help students to construct the entire article. Attending all 4 sessions and completing all writing assignments is compulsory.

    The course will be intensive—writing takes time—so we suggest that participants reserve considerable time for this course.

    Part of the work will be peer reviewing. Participants will critically discuss each of the tassignments with a peer-review partner (i.e. another course participant). The remaining members of the peer-review group will review and critique each assignment as well. This implies that participants must be willing to work closely with a peer-review partner during the course and meet deadlines for peer reviewing.

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    25 Apr 2022 - 6 May 2022
    Science Communication [LLS12]

    About this course

    As a researcher, you will be trained to communicate your research findings to colleagues by means of a poster, a conference talk, or a scientific publication. But fellow scientists are not the only target group for our results, we often want to further disseminate our findings. Are we well equipped to communicate our research findings to a wider audience and what does it take to do this properly?

    In four half-day sessions we will explore some of the basic principles of science communication. In the lectures we will discuss topics such as what is meant by societal impact, how to determine the target group of your research and how to communicate to different audiences. In subsequent interactive sessions, you will implement the gained knowledge in several exercises using your own research.

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    26 Jan 2022 - 27 Jan 2022
    Linux for Scientists [EL016]

    About this course

    This course aims to teach users of a Linux/UNIX system how to work with the command line interface. After an introduction to some history and basic concepts the basic commands for file and directory manipulation will be discussed. Subsequently, the students will learn how to manage processes as well as input and output redirection, followed by more advanced text processing utilities like 'sed' and 'gawk'.

    The second half of the course shows how to write Bash shell scripts to automate tasks. This knowledge is then used when discussing the Sun Grid Engine job queue system in use on the epib-genstat servers.

    The course will focus on providing hands-on experience, so those who have been using a Linux system for a longer time will be able to skip the parts they already feel comfortable with and move on to more advanced concepts like regular expressions, version control and advanced use of a text editor. 

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    27 May 2022 - 27 May 2022
    Networking & Influencing Skills [LLS14]

    About this course

    How do you get things done in such a complex organization as the Erasmus MC? As in any big organization there are formal procedures and informal channels. In this one day course you will get a better view of your political arena and the players in your field. You will understand your own challenges and you will be invited to step out of your comfort zone to make the impact you deserve. Body language, tone, voice, tempo and bearing discomfort are needed to increase your visibility. At the end of the day you will know who to approach, and how, to make the first step in achieving your goal.

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    28 Feb 2022 - 04 Mar 2022
    An Introduction to the Analysis of the Next-generation Sequencing Data [EL019]

    About this course

    This course provides an introduction to working with Next-Generation Sequencing (NGS) data. It targets individuals who have access to NGS data and want to learn how to work with this data and what the possibilities and limitations of NGS are. Lectures will be complemented with practical sessions in which the student will gain hands-on experience with various tools and techniques.Subjects that will be covered include:

    • NGS: an introduction to methodology and techniques;
    • Basic statistics of NGS data, e.g. coverage;
    • Aligning the sequence reads;
    • Calling sequence and structural variants;
    • Dealing with various file formats (samtools, VCFtools, GATK);
    • Annotating sequence and structural variants;
    • Evaluating functional effects of the genetic variants on proteins;
    • Conversion to other formats;
    • Single variant and Collapsed genotype analyses with various tools (e.g. seqMeta, RAREMETAL and RVtest);
    • Finding variants with recessive effects and compound heterozygosity;
    • Search for rare variants in families and population based studies for complex phenotypes;
    • Search for rare variants in Mendelian disorders, and
    • Imputation of sequence variants.

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    28 Feb 2022 - 11 Mar 2022
    The Body-Mind Connection [LLS09]

    About this course

    During this course we will explore how the evidence-informed practice of embodied awareness can be beneficial to increase resilience and prevent burnout. Chronic stress can lead to physical and emotional fatigue, disengagement, feelings of reduced accomplishment, and a myriad of physical ailments – these are signs and symptoms of burnout. We know the problem is caused by both organizational and individual factors and that a systems approach is necessary. We also know that developing our own personal skills are undervalued and overlooked – that is something we can guide you with and that is the purpose of this course.

    Our purpose is to provide participants with insight into their own reactions through experiential learning. Also, we will provide practical tools to take good care of yourself. The tools will help you to stay clear headed, calm and focused while making critical decisions and having to perform in a stressful environment.

    Teaching method: Online group sessions with interactive exercises performed in pairs or trios.

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    28 Mar 2022 - 01 Apr 2022
    Psychopharmacology [EL029]

    About this course

    Medical psychology is all about the interaction between mind and body: how do physical complaints affect our psychological functioning? But also: how does our psychological functioning affect us physically? When dealing with this interaction in a clinical setting, drug treatments often play an important role. Patients receiving drug treatment for psychiatric disorders frequently suffer physical side-effects, and drugs prescribed for somatic disorders can influence our mental state.

    Therefore, medical psychologists need to know which drugs are prescribed for common psychiatric and somatic disorders, and need to have a basic understanding of how these (psychoactive) drugs work, how and why they invariably lead to side-effects, and how these side-effect affect compliance. We will look at drug treatment for psychiatric disorders such as depression and schizophrenia, but also at drugs like corticosteroids – used in the treatment of somatic conditions such as inflammatory bowel disease – which have been found to increase the risk of suicidal behavior and neuropsychiatric disorders (i.e. depression, panic and manic episodes).

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    29 Apr 2022 - 29 Apr 2022
    Negotiation Skills [LLS13]

    About this course

    We negotiate every day: with our partners, children and colleagues. When it comes to negotiating for a better position or salary for ourselves, discomfort increases. This one day course clarifies the different mechanisms at play during a negotiation. The course will be a combination of theory and practice. You will get the tools how to stand your ground, bear discomfort and be open to the other person’s perspective. At the end of the day you will understand the mechanisms, see opportunities for negotiation and you will have gained the courage to take the next step. Prior to the course you are asked to fill out a questionnaire concerning your present negotiating skills.

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    30 May 2022 - 10 Jun 2022
    Principles in Causal Inference [EP01]

    About this course

    Epidemiologic research often entails asking and trying to answer questions toward understanding the causes and consequences of health outcomes. Answers to such causal questions require us to combine data (e.g., from observational studies) with assumptions to estimate causal effects. This course will teach students to think critically and rigorously about the implications of study design and analysis toward addressing such causal questions. Students will learn formal causal inference "languages" – including the concept of a target trial, causal diagrams, and counterfactual theory – to articulate research questions, inform an analytic approach, and identify threats to validity such as confounding.

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    30 May 2022 - 9 Jun 2022
    Sustainable Public Health [EL025]

    About this course

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    30 May 2022 - 10 Jun 2022
    Principles in Causal Inference [EL032]

    About this course

    Epidemiologic research often entails asking and trying to answer questions toward understanding the causes and consequences of health outcomes. Answers to such causal questions require us to combine data (e.g., from observational studies) with assumptions to estimate causal effects. This course will teach students to think critically and rigorously about the implications of study design and analysis toward addressing such causal questions. Students will learn formal causal inference "languages" – including the concept of a target trial, causal diagrams, and counterfactual theory – to articulate research questions, inform an analytic approach, and identify threats to validity such as confounding.

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    31 Jan 2022 - 04 Feb 2022
    Topics in Medical Decision Making [EL004]

    About this course

    This course deals with intermediate- to advanced level topics in the field of medical decision making. Topics that will be addressed include building decision models, evaluation of diagnostic tests, utility assessment, multi-attribute utility theory, Markov cohort models, microsimulation state-transition models, calibration and validation of models, probabilistic sensitivity analysis, value of information analysis, and behavioral decision making. The course will focus on the practical application of techniques and will include published examples and a computer practicum. Students will learn to apply state-of-the-art modeling methods using freely available open source software to evaluate the comparative effectiveness and cost-effectiveness of health interventions. While the primary emphasis is on application, essential underlying theoretical concepts will also be discussed. During the course you will have the opportunity to work on a decision problem which you select yourself. Many students use the course as a way to start writing a paper on a decision model in the field of their interest.

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    31 Jan 2022 - 04 Feb 2022
    Advances in Genome-Wide Association Studies [EL017]

    About this course

    This 5-day advanced course aims to give an overview of new developments in the field of genome wide association studies for those with a background in genetics, epidemiology or statistics. In the first part of the course, issues concerning the design and analysis of genome-wide association (GWA) analysis will be covered using standard software such as Plink and genABEL. This part will include quality control, hands-on GWA analysis of quantitative and binary traits, methods to detect and correct for stratification, and to model epistastasis. In the second part we will extend to an integrated approach of data analysis including eSNPs and new developments in the analysis of whole sequence data.

    Finally, we will discuss the perspectives for genetic testing in clinical practice. A major part of the teaching programme consists of hands-on exercises.

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