Bivariate survival modeling: a Bayesian approach based on copulas

DOI10.1007/s10985-006-9001-5zbMath1134.62321OpenAlexW2041347072WikidataQ36547367 ScholiaQ36547367MaRDI QIDQ849906

Nelson I. Tanaka, José S. Romeo, Antonio Carlos Pedroso-de-Lima

Publication date: 15 November 2006

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

Full work available at URL: https://doi.org/10.1007/s10985-006-9001-5

zbMATH Keywords

Bayesian analysiscopula modelsbivariate failure timespredictive selection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Survival analysis and censored data (62N99)

Related Items

Modelling bivariate lifetime data using copula ⋮ Maxima and Minima of Overall Survival Functions with Fixed Marginal Distributions and Transmission of Technology ⋮ Bayesian bivariate survival analysis using the power variance function copula ⋮ Study of semiparametric copula models via divergences with bivariate censored data ⋮ Large sample properties for a class of copulas in bivariate survival analysis ⋮ Nonparametric estimation of Spearman's rank correlation with bivariate survival data ⋮ Penalized variable selection in copula survival models for clustered time-to-event data ⋮ In mixed company: Bayesian inference for bivariate conditional copula models with discrete and continuous outcomes ⋮ The FGM Long-Term Bivariate Survival Copula Model: Modeling, Bayesian Estimation, and Case Influence Diagnostics ⋮ Bayesian semiparametric analysis of recurrent failure time data using copulas ⋮ A copula-based approach for estimating the survival functions of two alternating recurrent events ⋮ A New lifetime model for multivariate survival data with a surviving fraction ⋮ A bivariate regression model for matched paired survival data: local influence and residual analysis

Uses Software

• WinBUGS
• boa

Cites Work

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