Biostar Beta. Not for public use.
Recommendation on tutorials/books for longitudinal data analysis
0
Entering edit mode
17 months ago
alesssia • 520
London, UK

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!

ADD COMMENTlink
2
Entering edit mode
17 months ago
Gjain 5.3k
Göttingen, Germany

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):

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

Current methods (recommended under restrictive situations):

  1. Repeated-measure ANCOVA
  2. ANCOVA for two time points
  3. GEE (Generalized Estimating Equation)
  4. Latent curve growth models

In more general cases, they advise using:

  1. 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

ADD COMMENTlink
0
Entering edit mode

Thanks Gjain!

ADD REPLYlink
0
Entering edit mode

You're welcome. I hope this helps.

ADD REPLYlink

Login before adding your answer.

Similar Posts
Loading Similar Posts
Powered by the version 2.3.1