A flexible Bayesian non-parametric approach for fitting the odds to case II interval-censored data

DOI10.1080/00949655.2018.1504944OpenAlexW2885908745WikidataQ129478780 ScholiaQ129478780MaRDI QIDQ4960749

Wei-Quan Fang, Li-Chu Chien, Yin-Tzer Shih, Kai-Chi Chu, Yuh-Jenn Wu, Li-Hsueh Cheng

Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1504944

zbMATH Keywords

Bernstein polynomialsMarkov chain Monte Carlooddscase II interval-censored data

Mathematics Subject Classification ID

Censored data models (62N01) Bayesian inference (62F15)

Uses Software

• ICsurv

Cites Work

• Asymptotic properties of the GMLE with case 2 interval-censored data
• A Bayesian approach for analyzing case 2 interval-censored data under the semiparametric proportional odds model
• Nonparametric estimation of the cumulative intensities in an interval censored competing risks model
• Bayesian analysis of generalized odds-rate hazards models for survival data
• The statistical analysis of interval-censored failure time data.
• A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
• Nonparametric Estimation in a Markov “Illness–Death” Process from Interval Censored Observations with Missing Intermediate Transition Status
• A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
• Consistency of Bernstein Polynomial Posteriors
• Bayesian Survival Analysis Using Bernstein Polynomials
• A new look at the statistical model identification
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