Effect of Covariate Omission in Randomised Controlled Trials: A Review and Simulation Study

DOI10.1111/insr.12468OpenAlexW3195439493MaRDI QIDQ6067161

Masahiko Gosho, Kazushi Maruo, Unnamed Author

Publication date: 14 December 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12468

zbMATH Keywords

Poisson modelaccelerated failure time modelcovariate adjustmenttype-I error ratebias of standard error estimatorunadjusted analysis

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Survival analysis and censored data (62Nxx) Applications of statistics (62Pxx)

Cites Work

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• Choice of parametric accelerated life and proportional hazards models for survival data: Asymptotic results
• Effect of covariate omission in Weibull accelerated failure time model: A caution
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Properties of Proportional-Hazards Score Tests under Misspecified Regression Models
• Misspecified proportional hazard models
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• Effects of omitting a covariate in poisson models when the data are balanced
• Model Misspecification in Proportional Hazards Regression
• Maximum Likelihood Estimation of Misspecified Models

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