Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

[Analysis of ordinal repeated measures data using generalized estimating equation].

Xiang Liu1, Ju-ying Zhang

  • 1Department of Health Statistics, West China School of Public Health, Sichuan University, Chengdu 610041, China.

Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition
|October 14, 2006
PubMed
Summary

Generalized estimating equations effectively analyze ordinal repeated measures data by accounting for correlations. This method offers a robust approach for clinical trial data analysis, improving reliability.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A GPC1-Targeting multifunctional nanoplatform combining paclitaxel-mediated chemotherapy and chlorin e6-assisted sonodynamic therapy for Pancreatic Ductal Adenocarcinoma (PDAC) treatment.

Cancer treatment and research communications·2026
Same author

Therapeutic Potential of PDA@CeO2 in Suppressing Hepatic Stellate Cell Activation and Preventing Liver Fibrosis.

International journal of nanomedicine·2025
Same author

A Novel Nanoscale Phase-Change Contrast Agent Evaluates the Hepatic Fibrosis Through Targeting Hepatic Stellate Cell Platelet-Derived Factor Beta Receptor by Ultrasound in Vitro.

Ultrasound in medicine & biology·2024
Same author

Visualization of therapeutic intervention for acute liver injury using low-intensity pulsed ultrasound-responsive phase variant nanoparticles.

Biomaterials science·2024
Same author

Spatio-temporal analysis of socio-economic characteristics for pulmonary tuberculosis in Sichuan province of China, 2006-2015.

BMC infectious diseases·2020
Same author

All-cause child mortality in minority and non-minority areas in Sichuan Province in Western China, 2008-2017.

Scientific reports·2019

Area of Science:

  • Biostatistics
  • Clinical Trial Methodology
  • Longitudinal Data Analysis

Context:

  • Repeated measures data in clinical trials often exhibit complex correlations.
  • Ordinal outcomes are common in clinical research, requiring specialized analytical techniques.
  • Traditional methods may not adequately address the dependencies within repeated measures.

Purpose:

  • To demonstrate the application of generalized estimating equations (GEE) for ordinal repeated measures data.
  • To provide a methodological reference for analyzing such data in clinical trials.
  • To compare GEE with independent logistic regression for ordinal repeated measures.

Summary:

  • Generalized estimating equations were applied to ordinal repeated measures data, modeling outcomes using the GENMOD command.

Related Experiment Videos

  • Parameter estimation and standard errors were successfully obtained, allowing for intuitive interpretation.
  • GEE results showed generally larger standard errors compared to independent logistic regression.

    • Impact:

    • GEE effectively handles correlations in dependent data using a working correlation matrix.
    • The method controls for confounding factors, including strata correlation and repeated measures.
    • GEE offers a powerful and effective statistical approach for analyzing ordinal repeated measures data in clinical settings.