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Missing data: consequences and solutions (WV81)

Although researchers do their best to avoid missing data, it is a common problem in medical and epidemiological studies. How large the impact is of missing data on the study results and how to solve the missing data problem depends on how much data is missing and why the data are missing. This three-day course provides you with simple and advanced tools how to evaluate and handle missing data in medical and epidemiological studies.

Course details

Date:
29, 30, 31 January 2025
Tuition fee:
1.050
City: Amsterdam Course coordinator: M.W. (Martijn) Heymans, PhD
Language: English Learning method: Lectures and computer practical
Examination: Written examination with computer assignments (facultative) Examination dates: See Exams page
Number of EC: 2 Details: Contact hours: 18
Date Tuition fee:
29, 30, 31 January 2025
1.050
City: Amsterdam
Course coordinator: M.W. (Martijn) Heymans, PhD
Language: English
Learning method: Lectures and computer practical
Examination: Written examination with computer assignments (facultative)
Examination dates: See Exams page
Number of EC: 2
Details: Contact hours: 18

About the course

Missing data is a 3-days course that consists of an intensive programme of partly interactive lectures, combined with computer-based practical work. Examples taken from clinical practice will be used for the computer-based work.

If a course is [Full], you can still register, and we will place you on a waiting list. We will contact you as soon as a place becomes available. You can then decide whether you still want to participate.

More information

Faculty