Bayesian semiparametric model for spatially correlated interval-censored survival data

DOI10.1016/j.csda.2013.11.016zbMath1506.62145OpenAlexW1986529644MaRDI QIDQ1623462

Lianming Wang, Chun Pan, Bo Cai, Xiaoyan Lin

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.11.016

zbMATH Keywords

semiparametric regressionproportional hazards modelPoisson processinterval-censored dataspatial frailty

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)

Related Items (9)

Semiparametric Bayesian analysis of high-dimensional censored outcome data ⋮ Semiparametric spatial model for interval-censored data with time-varying covariate effects ⋮ ICBayes: a package of Bayesian semiparametric regression for intervel-censored data ⋮ Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution ⋮ Bayesian Spatial Survival Models ⋮ A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data ⋮ Semi-Parametric Cure Rate Proportional Odds Models with Spatial Frailties for Interval-Censored Data ⋮ D-Measure: A Bayesian Model Selection Criterion for Survival Data ⋮ Competing risks model for clustered data based on the subdistribution hazards with spatial random effects

Uses Software

• spBayes
• Interval

Cites Work

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