Author(s):
Kalesh M Karun, Deepthy M S
Email(s):
karunkmk@gmail.com , deepthyms27@gmail.com
DOI:
10.52711/0974-360X.2023.00392 
Address:
Kalesh M Karun1*, Deepthy M S2
1Scientist C, ICMR- National Institute of Traditional Medicine, Dept. of Health Research (Govt. of India), Nehru Nagar, Belagavi, Karnataka, Pin- 590010, India.
2Department of Biostatistics, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, Pin - 605006, India.
*Corresponding Author
Published In:
Volume - 16,
Issue - 5,
Year - 2023
ABSTRACT:
Two group pre-post designs are very commonly used in medical research to study the effect of interventions on numerical outcome variables. Sometimes these measurements don’t follow the fundamental statistical assumption of normality and two-way repeated measures mixed ANOVA cannot be used. Generalized Estimating Equation (GEE) with Gamma log link function is a non-parametric analogue that can be used when data is skewed. When compared to other methods GEE has fewer assumptions and provides precise estimates.In the present study, the application of GEE is demonstrated using a simulated data. Different steps involved in the GEE analysis using SPSS software were also provided as an easy guide to researchers. This study could serve medical researchers understand, perform and interpret GEE in a better way.
Cite this article:
Kalesh M Karun, Deepthy M S. Generalized Estimating Equations in Longitudinal Studies: A Non-Parametric Alternative for Two-Way Repeated Measures Mixed ANOVA. Research Journal of Pharmacy and Technology 2023; 16(5):2381-4. doi: 10.52711/0974-360X.2023.00392
Cite(Electronic):
Kalesh M Karun, Deepthy M S. Generalized Estimating Equations in Longitudinal Studies: A Non-Parametric Alternative for Two-Way Repeated Measures Mixed ANOVA. Research Journal of Pharmacy and Technology 2023; 16(5):2381-4. doi: 10.52711/0974-360X.2023.00392 Available on: https://rjptonline.org/AbstractView.aspx?PID=2023-16-5-51
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