Multilevel Analysis of Longitudinal Data (MALD)

Dr. Shahab Jolani
Department of Methodology and Statistics (DEB1)
Phone: + 31 43 388 24 34
E-mail: s.jolani@maastrichtuniversity.nl

All PhD students and researchers involved in studies that consider longitudinal and multilevel data in medical, epidemiological, and social and behavioral research.

Participants should be familiar with standard linear regression analysis at an intermediate level (e.g., successfully completed the courses Introduction to Statistics Part 1 and Regression Analysis, Statistics Part 2). Without this basic knowledge, the course will be hard to follow. In any case, the participant should be familiar with dummy variables, interpretation of the regression parameters as well as experience working with SPSS (or R if it is preferred).

After completing this course, participants will have knowledge of and insight into:

• What multilevel models are

• How to model and analyze specific longitudinal data

• What steps are required to analyze longitudinal data in practice

• What possibilities exist in SPSS (or R) procedures regarding the analysis of longitudinal data

It also offers participants the opportunity to practice these methods using SPSS (or R).

• Standard linear regression model and its shortcoming

• Examples of multilevel designs

• Mixed-effects regression models including random intercept model, random intercept and slope model, models with serial correlations, and marginal models

• Basic principles of model selection in multilevel models

• Analysis of pre-post measurement designs

• Analysis of longitudinal experimental studies

• Missing observations in longitudinal studies

• Tan, F.E.S. and Jolani, S. (2022). Applied linear regression for longitudinal data: with an emphasis on missing observations (1st ed.). Chapmen and Hall/CRC. https://doi.org/10.1201/9781003121381. It is highly recommended to purchase the book, as it is the main study material of the course.
• handouts provided by the tutor

PhD candidates (Promovendi) of FHML, MaCSBIO, M4I and MERLN: no fee

These courses are free of charge in case you are employed or registered as FHML PhD candidate. 
Master students: no fee (*)
Others: €500,00

(*) PhD candidates and other participants are given preference. If some spots are still available, then Master students can apply.

PhD secretary
Available Monday until Thursday: 9 am – 5 pm
Friday morning: 9 am – 1 pm

 +31 43 387 28 44
 Visitors address: Fac.Bur. FHML, P.Debeyelaan 15/ Dr. Van Kleeftoren, 2N2.004
 aioonderwijs@maastrichtuniversity.nl