Dear all,

I am new to longitudinal data analysis, and I was wondering if anyone knows any good tutorial/book (or references) to start with. Links to advanced materials are appreciated as well!

Thank you very much!

Recommendation on tutorials/books for longitudinal data analysis

0

Entering edit mode

Dear all,

I am new to longitudinal data analysis, and I was wondering if anyone knows any good tutorial/book (or references) to start with. Links to advanced materials are appreciated as well!

Thank you very much!

2

Entering edit mode

Hi,

I would highly recommend this review to start with longitudinal data analysis:

Title: An overview of longitudinal data analysis methods for neurological research

Link: http://www.ncbi.nlm.nih.gov/pubmed/22203825

They talk about both pros and cons of:

Traditional methods (not recommended):

- Simple regression of the dependent variable on the time measure
- Analyzing a single summary number that indexes change for each subject
- A GLM approach with a fixed-subject effect

Current methods (recommended under restrictive situations):

- Repeated-measure ANCOVA
- ANCOVA for two time points
- GEE (Generalized Estimating Equation)
- Latent curve growth models

In more general cases, they advise using:

**Random-effect models**

From there you can look into each method in more detail and then use which suits your requirement. I hope this helps.

Another one is from Bodo Winter: Linear models and linear mixed effects models in R with linguistic applications. arXiv:1308.5499. http://arxiv.org/pdf/1308.5499.pdf

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Thanks Gjain!

You're welcome. I hope this helps.