Estimation of Main Effect When Covariates Have Non-Proportional Hazards

DOI10.1080/03610918.2012.744043zbMath1333.62239OpenAlexW2040418846MaRDI QIDQ5418904

Xinyi Lin, Ronghui Xu, Erika Strandberg

Publication date: 30 May 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.744043

zbMATH Keywords

biascovariatesnon-proportional hazardsconfounder

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Cites Work

• Estimation of treatment effects based on possibly misspecified Cox regression
• A Biometrics Invited Paper with Discussion. Some Aspects of Analysis of Covariance
• Sample-Size Formula for the Proportional-Hazards Regression Model
• Properties of Proportional-Hazards Score Tests under Misspecified Regression Models
• Misspecified proportional hazard models
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• Partial likelihood
• The influence of random effects on the unconditional hazard rate and survival functions
• Estimating average regression effect under non-proportional hazards

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