Association measures for bivariate failure times in the presence of a cure fraction

DOI10.1007/s10985-016-9371-2zbMath1468.62388OpenAlexW2471086566WikidataQ39658602 ScholiaQ39658602MaRDI QIDQ1641899

Lajmi Lakhal-Chaieb, Thierry Duchesne

Publication date: 20 June 2018

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

Full work available at URL: https://doi.org/10.1007/s10985-016-9371-2

zbMATH Keywords

copulaKendall's tauassociation measurelinear transformation modelES-algorithm

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (1)

Firth adjusted score function for monotone likelihood in the mixture cure fraction model

Cites Work

• Marginal regression analysis of clustered failure time data with a cure fraction
• Marginal analysis of multivariate failure time data with a surviving fraction based on semiparametric transformation cure models
• A class of semiparametric transformation models for survival data with a cured proportion
• A marginal regression model for multivariate failure time data with a surviving fraction
• Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data
• Modeling survival data: extending the Cox model
• Bayesian inference for multivariate survival data with a cure fraction
• Association estimation for clustered failure time data with a cure fraction
• Time-dependent cross ratio estimation for bivariate failure times
• A Bivariate Cure-Mixture Approach for Modeling Familial Association in Diseases
• Semiparametric maximum likelihood estimation in normal transformation models for bivariate survival data
• Modelling Paired Survival Data with Covariates
• On semiparametric transformation cure models
• A Bivariate Frailty Model with a Cure Fraction for Modeling Familial Correlations in Diseases
• Copula inference under censoring
• Logistic Regression for Correlated Binary Data
• Nonparametric cure rate estimation with covariates

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