Multiple imputation for the Cox proportional hazards model with missing covariates

DOI10.1023/A:1009657116403zbMath0887.62109OpenAlexW245479767WikidataQ73911314 ScholiaQ73911314MaRDI QIDQ1376362

Myunghee Cho Paik

Publication date: 2 June 1998

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

Full work available at URL: https://doi.org/10.1023/a:1009657116403

zbMATH Keywords

tablessimulationsCox modelmissing covariatesmultiple imputations

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

Related Items (10)

Measurement Error in Covariates in the Marginal Hazards Model for Multivariate Failure Time Data ⋮ A calibrated Bayesian method for the stratified proportional hazards model with missing covariates ⋮ Multiple imputation methods for recurrent event data with missing event category ⋮ Maximum likelihood inference for the Cox regression model with applications to missing covariates ⋮ Alternative expectation approaches for expectation-maximization missing data imputations in cox regression ⋮ Maximum likelihood estimation in a partially observed stratified regression model with censored data ⋮ Estimation in zero-inflated binomial regression with missing covariates ⋮ Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose ⋮ Maximum Likelihood Methods for Cure Rate Models with Missing Covariates ⋮ Non-Ignorable Missing Covariate Data in Survival Analysis: A Case-Study of an International Breast Cancer Study Group Trial

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