Biostatistical Methods II: Classical Regression Models [EP03]

Course highlights

EC points




Course days

First week: full weekdays except Wednesday. After that: 30/11 - 10:00-11:00, 2/12 - 14:00-16:00, 4/12 - 10:00-12:00, 8/12 - 10:00-12:00, 11/12 - 10:00-12:00


Prof. Dimitris Rizopoulos, PhD, Dr. Sten Willemsen

Course fee

€ 1400






Biostatistical Methods I: Basis Principles (CC02) and the Introduction to R course of NIHES. If you have been registered for the EP03 course, you will be automatically enrolled in the Introduction to R course, a short online course. NIHES checks whether you meet the prerequisite for EP03.


  • Biostatistics


How to apply

Detailed information about this course:


The aim of this course is to introduce several important statistical regression models for non-normal and censored outcomes that are widely applied in clinical and epidemiological research. The course starts with a brief presentation of the basic principles behind likelihood theory, followed by a detailed discussion of logistic regression for dichotomous data, Poisson regression for count data, and closes with an extended presentation of regression models for time-to-event data, including the Cox proportional hazards model and the accelerated failure time model.The course will be explanatory rather than mathematically rigorous, with emphasis given on application such that participants will obtain a clear view on 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 be asked to implement in practice the methods discussed in the theory sessions.


After this course participants will be able to identify which type of regression models should be utilized depending on the nature of the data at hand and the actual research questions to be answered, and which model-building strategies should be followed in each setting. Furthermore, participants should be able to construct and fit an appropriate regression model, correctly interpret the obtained results, and extract additional useful information (e.g., plots) that can help communicate the results of the analysis.

Participant profile

For researchers wanting to learn the basics of regression analysis.



Reduction on fees


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.