Yang and Prentice model with piecewise exponential baseline distribution for modeling lifetime data with crossing survival curves

DOI10.1214/20-BJPS471zbMath1471.62486OpenAlexW3119772841WikidataQ115517708 ScholiaQ115517708MaRDI QIDQ2233649

Vinícius Diniz Mayrink, Fabio N. Demarqui

Publication date: 11 October 2021

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-bjps471

zbMATH Keywords

maximum likelihood estimationsurvival analysissemiparametric modelingshort-term and long-term hazard ratios

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (1)

survstan

Uses Software

• R
• Stan
• BRENT
• YPPE

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Improved Logrank-Type Tests for Survival Data Using Adaptive Weights
• A class of dynamic piecewise exponential models with random time grid
• A Weibull regression model with gamma frailties for multivariate survival data
• Bayesian semiparametric analysis of short- and long-term hazard ratios with covariates
• Checking the Short-Term and Long-Term Hazard Ratio Model for Survival Data
• Maximum of the weighted Kaplan–Meier tests for the two-sample censored data
• Estimation of the 2-sample hazard ratio function using a semiparametric model
• Semiparametric regression analysis of two-sample current status data, with applications to tumorigenicity experiments
• A general model for accelerated life testing with time-dependent covariates
• Semiparametric Bayesian Analysis of Survival Data
• Bayesian Analysis and Model Selection for Interval‐Censored Survival Data
• Marginal likelihoods based on Cox's regression and life model
• Dynamic Bayesian Models for Survival Data
• Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
• An approach to model clustered survival data with dependent censoring
• Semiparametric analysis of short-term and long-term hazard ratios with two-sample survival data
• Efficient Semiparametric Estimation of Short‐Term and Long‐Term Hazard Ratios with Right‐Censored Data
• Fully semiparametric Bayesian approach for modeling survival data with cure fraction
• Bayesian survival analysis

This page was built for publication: Yang and Prentice model with piecewise exponential baseline distribution for modeling lifetime data with crossing survival curves