Regression Survival Analysis with an Assumed Copula for Dependent Censoring: A Sensitivity Analysis Approach

DOI10.1111/j.1541-0420.2008.00986.xzbMath1152.62081OpenAlexW2152381850WikidataQ33683416 ScholiaQ33683416MaRDI QIDQ3549397

Nan Zhang, Xuelin Huang

Publication date: 22 December 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4037927

zbMATH Keywords

copulasensitivity analysissurvival analysiscompeting risksdependent censoringself-consistent estimator

Mathematics Subject Classification ID

Related Items (20)

Generalized Link-Based Additive Survival Models with Informative Censoring ⋮ Semiparametric transformation models for current status data with informative censoring ⋮ Sieve maximum likelihood estimation for the proportional hazards model under informative censoring ⋮ Maximum likelihood estimation of semiparametric mixture component models for competing risks data ⋮ A multi-treatment two stage adaptive allocation for survival outcomes ⋮ On the study of extremes with dependent random right-censoring ⋮ Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring ⋮ Copula-based inference for bivariate survival data with left truncation and dependent censoring ⋮ Partially identifying competing risks models: an application to the war on cancer ⋮ A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence ⋮ Semiparametric estimation method for accelerated failure time model with dependent censoring ⋮ A generalized sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems ⋮ Joint modeling approach for semicompeting risks data with missing nonterminal event status ⋮ Mixture regression models for the gap time distributions and illness-death processes ⋮ A multivariate normal regression model for survival data subject to different types of dependent censoring ⋮ Score tests for independence in semiparametric competing risks models ⋮ Maximum likelihood analysis of semicompeting risks data with semiparametric regression models ⋮ Copula identifiability conditions for dependent truncated data model ⋮ Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data ⋮ Estimation of the cumulative baseline hazard function for dependently right-censored failure time data

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