Bayesian bivariate survival analysis using the power variance function copula

DOI10.1007/s10985-017-9396-1zbMath1468.62402OpenAlexW2618622352WikidataQ38768092 ScholiaQ38768092MaRDI QIDQ1642151

Diego I. Gallardo, Renate Meyer, José S. Romeo

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/s10985-017-9396-1

zbMATH Keywords

Bayesian analysismultivariate survival analysisdependenceArchimedean copulas

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Factor copula models for right-censored clustered survival data ⋮ Study of semiparametric copula models via divergences with bivariate censored data ⋮ Modeling bivariate geyser eruption system with covariate-adjusted recurrent event process ⋮ Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme ⋮ Copula Link-Based Additive Models for Right-Censored Event Time Data

Uses Software

• WinBUGS

Cites Work

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