A copula model for bivariate hybrid censored survival data with application to the MACS study

DOI10.1007/s10985-009-9139-zzbMath1322.62295OpenAlexW2026744941WikidataQ33516132 ScholiaQ33516132MaRDI QIDQ746036

Kathryn Chaloner, Suhong Zhang, Jack T. Stapleton, Ying Zhang

Publication date: 15 October 2015

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

Full work available at URL: http://europepmc.org/articles/pmc3567926

zbMATH Keywords

copulaempirical processright censored dataassociation measurecurrent status dataKendall's \(\tau\)bivariate survival model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)

Related Items (4)

Marshall–Olkin frailty survival models for bivariate right-censored failure time data ⋮ Multiple event times in the presence of informative censoring: modeling and analysis by copulas ⋮ Estimating the parameters of Weibull distribution and the acceleration factor from hybrid partially accelerated life test ⋮ Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data

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• Asymptotic normality of the NPMLE of linear functionals for interval censored data, case 1
• Testing Independence for Bivariate Current Status Data
• On the Asymptotic Distribution of Differentiable Statistical Functions

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