Measurement Error in Covariates in the Marginal Hazards Model for Multivariate Failure Time Data

DOI10.1111/j.0006-341X.2004.00254.xzbMath1274.62779WikidataQ30978765 ScholiaQ30978765MaRDI QIDQ3445342

Wendy F. Greene, Jianwen Cai

Publication date: 11 June 2007

Published in: Biometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

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

Related Items (16)

Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information ⋮ Bias analysis and the simulation-extrapolation method for survival data with covariate measurement error under parametric proportional odds models ⋮ Marginal hazards model for multivariate failure time data with auxiliary covariates ⋮ Latent-Model Robustness in Joint Models for a Primary Endpoint and a Longitudinal Process ⋮ Regression analysis of interval-censored failure time data with cured subgroup and mismeasured covariates ⋮ Estimated Quadratic Inference Function for Correlated Failure Time Data ⋮ Adapting SIMEX to correct for bias due to interval‐censored outcomes in survival analysis with time‐varying exposure ⋮ Improving estimation efficiency for multivariate failure time data with auxiliary covariates ⋮ SIMEX and standard error estimation in semiparametric measurement error models ⋮ A simulation-extrapolation approach for the mixture cure model with mismeasured covariates ⋮ Auxiliary covariate in additive hazards regression for survival data ⋮ Consistency of the estimator of cumulative hazard function in estimated pseudo-partial-likelihood approach ⋮ Reducing measurement error in student achievement estimation ⋮ Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error ⋮ Estimated Pseudopartial‐Likelihood Method for Correlated Failure Time Data with Auxiliary Covariates ⋮ Continuous auxiliary covariate in additive hazards regression for survival data

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