Related Experiment Video
Updated: Jul 10, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Assessment of relative improvement due to weights within generalized estimating equations framework for incomplete
1Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, IL 60612, USA. demirtas@uic.edu
Abstract:
The generalized estimating equations (GEE) approach has been popular for analyzing longitudinal clinical trials data with missing values. The GEE methodology allows one to obtain unbiased estimates only when the data are missing completely at random. The use of weights into the estimating equations has been proposed as an adjustment for differential probabilities of nonresponse to accomodate more realistic missingness mechanisms. This article addresses the problem of assessing the relative improvement due to weights using simulated data generated around an alcoholic hepatitis trial. We argue that weights yield improved results in terms of bias, coverage rate, and efficiency only when the underlying missingness mechanism is correctly specified.
More Related Videos
08:36The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
Published on: April 19, 2024
03:05Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study
Published on: November 21, 2025
Related Concept Videos
Regression Toward the Mean
Weighted Mean
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bioequivalence Data: Statistical Interpretation
Assumptions of Survival Analysis
Comparing the Survival Analysis of Two or More Groups