Confidence intervals for difference between two binomial proportions derived from logistic regression

DOI10.1080/03610918.2019.1710195zbMath1489.62230OpenAlexW3003383774MaRDI QIDQ5866153

Kazushi Maruo, Atsushi Kawaguchi, Ryuji Uozumi, Shinjo Yada

Publication date: 13 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1710195

zbMATH Keywords

logistic modelrandomized clinical trialsdelta methodrisk differencepopulation marginal approachsample marginal approach

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Uses Software

• aplore3

Cites Work

• Population Marginal Means in the Linear Model: An Alternative to Least Squares Means
• Confidence intervals for two sample binomial distribution
• Confidence Intervals for Proportions and Related Measures of Effect Size
• Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• A geometric approach to assess bias due to omitted covariates in generalized linear models
• Estimation Efficiency with Omitted Covariates in Generalized Linear Models
• Applied Logistic Regression
• Regression methods in biostatistics. Linear, logistic, survival, and repeated measures models.