Generalized Estimating Equations in Longitudinal Studies: A Non-Parametric Alternative for Two-Way Repeated Measures Mixed ANOVA

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. Generaliz...

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Published inResearch journal of pharmacy and technology Vol. 16; no. 5; pp. 2381 - 2384
Main Authors M Karun, Kalesh, M S, Deepthy
Format Journal Article
LanguageEnglish
Published Raipur A&V Publications 01.05.2023
Subjects
Estimates
Generalized linear models
Infections
Intervention
Knowledge
Longitudinal studies
Medical research
Nonparametric statistics
Variables
Within-subjects design
Online AccessGet full text
ISSN0974-3618
0974-360X
0974-306X
DOI10.52711/0974-360X.2023.00392

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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.
AbstractList 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.
Author M Karun, Kalesh
M S, Deepthy
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StartPage 2381
SubjectTerms Estimates
Generalized linear models
Infections
Intervention
Knowledge
Longitudinal studies
Medical research
Nonparametric statistics
Variables
Within-subjects design
Title Generalized Estimating Equations in Longitudinal Studies: A Non-Parametric Alternative for Two-Way Repeated Measures Mixed ANOVA
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