Reducing bias in parameter estimates from stepwise regression in proportional hazards regression with right-censored data

DOI10.1007/S10985-007-9078-5zbMath1169.62092OpenAlexW1983502799WikidataQ33314367 ScholiaQ33314367MaRDI QIDQ1029797

David P. Harrington, Alan M. Zaslavsky, Chang-Heok Soh

Publication date: 13 July 2009

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-007-9078-5

zbMATH Keywords

bootstrapbias reductionproportional hazards model

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Bootstrap, jackknife and other resampling methods (62F40) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Uses Software

• bootlib

Cites Work

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• Penalized Partial Likelihood Regression for Right-Censored Data with Bootstrap Selection of the Penalty Parameter
• Properties of Proportional-Hazards Score Tests under Misspecified Regression Models
• Selection of Subsets of Regression Variables
• Misspecified proportional hazard models
• Bayesian Variable Selection Method for Censored Survival Data
• A Statistical View of Some Chemometrics Regression Tools

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