Higher dimensional Clayton–Oakes models for multivariate failure time data

DOI10.1093/BIOMET/ASV057zbMath1452.62735OpenAlexW2242154656WikidataQ31136517 ScholiaQ31136517MaRDI QIDQ2797347

Ross L. Prentice

Publication date: 5 April 2016

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/asv057

zbMATH Keywords

copulacross ratioClayton-Oakes modelmultivariate survivor functionbivariate survivor function

Mathematics Subject Classification ID

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

Related Items (4)

Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton-Oakes model ⋮ Nonparametric estimation of the multivariate survivor function: the multivariate Kaplan-Meier estimator ⋮ On the targets of inference with multivariate failure time data ⋮ Nonparametric bivariate density estimation for censored lifetimes

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