Boerhaave Nascholing | Analysis of Repeated Measurements

Omschrijving

This course covers statistical methods to be used in the situation where one or more outcome 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. For this type of data, traditional regression models cannot be used since outcomes of the same subject may be correlated, and this should be taken into account in the statistical model. 

Prerequisites

Familiarity with standard regression models such as the multiple linear regression and logistic regression model. It is highly recommended for students to follow the 'Basic Methods and Reasoning in Biostatistics' course and the 'Regression Analysis' course before joining this course. No pre-knowledge of repeated measurements analysis is required.

Familiarity with data processing in R is required. The participants may use either R or SPSS during the practicals, only the main focus in the pre-recorded video's, live lectures and practical assignments will be on R. For those without any previous experience in R, the slides of the course and solutions of the practical exercises are also available in SPSS; only no support will be given during the course on SPSS.  

Target group

Master and PhD students in the bio-medical sciences.

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More information

Boerhaave Nascholing - Analysis of repeated measurements 2025