Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information

DOI10.1007/s10985-020-09513-1OpenAlexW3119226688MaRDI QIDQ825225

Jianwen Cai, Haibo Zhou, Lin Zhu, Feifei Yan, Yan Yan Liu

Publication date: 17 December 2021

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

Full work available at URL: https://doi.org/10.1007/s10985-020-09513-1

zbMATH Keywords

chi-squared testquadratic inference functionvalidation samplemultivariate failure time data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)

Related Items (1)

Improving marginal hazard ratio estimation using quadratic inference functions

Cites Work

• Improving generalised estimating equations using quadratic inference functions
• Marginal hazard regression for correlated failure time data with auxiliary covariates
• Multivariate failure times regression with a continuous auxiliary covariate
• Regression estimation using multivariate failure time data and a common baseline hazard function model
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• Measurement Error in Covariates in the Marginal Hazards Model for Multivariate Failure Time Data
• Incorporating Correlation for Multivariate Failure Time Data When Cluster Size Is Large
• Multivariate Generalizations of the Proportional Hazards Model
• Failure Time Regression With Continuous Covariates Measured With Error
• Estimating equations for hazard ratio parameters based on correlated failure time data
• Semiparametric Failure Time Regression With Replicates of Mismeasured Covariates
• Estimated Pseudopartial‐Likelihood Method for Correlated Failure Time Data with Auxiliary Covariates

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