Recommendation on tutorials/books for longitudinal data analysis
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6.2 years ago
alesssia ▴ 570

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!

longitudinal data tutorial book • 3.2k views
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6.1 years ago
Gjain 5.7k

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 

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Thanks Gjain! 

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You're welcome. I hope this helps.

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