Effects of model misspecification in estimating covariate effects in survival analysis for small sample sizes

DOI10.1016/0167-9473(96)88029-7zbMath0900.62590OpenAlexW2087697546MaRDI QIDQ1350418

Yi-Hwei Li, John P. Klein, Melvin L. Moeschberger

Publication date: 27 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(96)88029-7

zbMATH Keywords

robustnesscensoringmodel misspecificationparametric regressionCox proportional hazards regressionsmall sample size power

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Reliability and life testing (62N05)

Related Items (6)

Effects of model misspecification in estimating covariate effects in survival analysis for small sample sizes ⋮ Semi‐parametric estimation of covariate effects using the positive stable frailty model ⋮ Estimation in hazard regression models under ordered departures from proportionality ⋮ Alternative approaches to study lifetime data under different scenarios: from the PH to the modified semiparametric AFT model ⋮ Estimation of survival based on proportional hazards when cure is a possibility ⋮ Asymptotic efficiency of a proportional hazards model with cure

Cites Work

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• Effects of model misspecification in estimating covariate effects in survival analysis for small sample sizes
• Comparison of Four Tests for Equality of Survival Curves in the Presence of Stratification and Censoring
• The Robustness of Several Estimators of the Survivorship Function with Randomly Censored Data
• The Robust Inference for the Cox Proportional Hazards Model
• Properties of Proportional-Hazards Score Tests under Misspecified Regression Models
• Misspecified proportional hazard models
• The loss in efficiency from misspecifying covariates in proportional hazards regression models
• Squeeze Methods for Generating Gamma Variates
• An exponential power life-testing distribution
• Computer Generation of Normal Random Variables

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