Biostatistics I - Spring [CK020s]

Course highlights

EC points

4.5

Start date

09-05-2022

End date

27-05-2022

Course days

Monday-Friday, the course covers a fulltime workload.

Faculty

Dr. Isabella Kardys

Course fee

€ 1620

Location

Online

Level

Introductory

Prerequisites

Participants are expected to have a basic knowledge of standard mathematical concepts to the level of the CK001 course (formerly BST01).

Disciplines

  • Biostatistics

Application

How to apply

Detailed information about this course:

Description

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.

Objectives

At the end of the course, participants will have learned:

  • The basic concepts of statistical inference
  • When and how to use standard statistical tests
  • When and how to use statistical regression models
  • How to assess the assumptions behind the chosen statistical analysis technique
  • How to correctly interpret the results of the analysis
  • How to implement all the above in the R statistical software

Participant profile

Clinical researchers, clinical epidemiologists, decision scientists, public health researchers, those in health technology assessment or value-based healthcare.

This course is not available to students in the NIHES degree programmes.

Assessment

Assignment(s)


Reduction on fees

PLEASE NOTE THIS DOES NOT APPLY TO THE RESEARCH MASTERS (120 EC points)

No fees are charged for participation of Erasmus MC PhD candidates

Please note that in case of cancellation or no show, the cancellation policy applies based on the full course fee.

50% reduction on our fees for participating institutes of NIHES

This 50% reduction is offered to participants formally appointed at the departments or sections participating in NIHES.

University Medical Center Rotterdam/Erasmus University Rotterdam:

  • Department of Epidemiology
  • Department of Public Health
  • Department of Psychiatry, Section of Medical Psychology and Psychotherapy
  • Department of Child and Adolescent Psychiatry/Psychology
  • Department of Medical Informatics
  • Department of General Practice
  • Erasmus School of Health Policy & Management
  • Generation R

50% reduction on our fees for NIHES affiliated partners

This 50% reduction is offered to participants formally appointed at the following NIHES affiliated partners:

University Medical Center Rotterdam/Erasmus University Rotterdam, departments of:

  • Dermatology
  • General Paediatrics
  • Plastic and Reconstructive Surgery
  • Rehabilitation Medicine

UMIT, Department of Public Health, Health Services Research and Health Technology Assessment.

25% reduction on our fees for Erasmus MC employees

For participants formally appointed at all departments of Erasmus MC (except the departments mentioned above and Erasmus MC PhD candidates).

25% reduction for all (international) PhD students without formal appointment at Erasmus MC

Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD student.