Semi-parametric survival analysis via Dirichlet process mixtures of the first hitting time model
type: Item
instance of: scholarly article
title: Semi-parametric survival analysis via Dirichlet process mixtures of the first hitting time model
author: Jonathan A. Race
author: Michael Pennell
published in: Lifetime Data Analysis
publication date: 2021-12-17T00:00:00Z
full work available at URL: http://rave.ohiolink.edu/etdc/view
Mathematics Subject Classification ID: 62Nxx
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7447314
zbMATH Keywords: Bayesian methodology
zbMATH Keywords: Dirichlet process
zbMATH Keywords: mixture models
zbMATH Keywords: nonproportional hazards
zbMATH Keywords: survival analysis
zbMATH Keywords: threshold regression
zbMATH Keywords: Wiener process
MaRDI profile type: Publication
OpenAlex ID: W3119812520
cites work: Understanding the shape of the hazard rate: A process point of view. (With comments and a rejoinder).
cites work: Survival and event history analysis. A process point of view
cites work: Q4978069
cites work: Q4692900
cites work: A semiparametric inverse‐Gaussian model and inference for survival data with a cured proportion
cites work: Q5654899
cites work: Bayesian threshold regression model with random effects for recurrent events
cites work: Ornstein-Uhlenbeck threshold regression for time-to-event data with and without a cure fraction
cites work: Q4298922
cites work: Modelling heterogeneity in survival data
cites work: Gibbs Sampling Methods for Stick-Breaking Priors
cites work: Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
cites work: Exact and approximate sum representations for the Dirichlet process
cites work: Bayes Factors
cites work: Survival analysis. Techniques for censored and truncated data.
cites work: Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary
cites work: Bayesian random-effects threshold regression with application to survival data with nonproportional hazards
cites work: Issues in Fitting Inverse Gaussian First Hitting Time Regression Models for Lifetime Data
cites work: Q4127159
cites work: On the Cox Model With Time-Varying Regression Coefficients
cites work: Statistical Properties of Inverse Gaussian Distributions. I
cites work: Q4872035
cites work: Modeling low birth weights using threshold regression: Results for U. S. birth data
cites work: Failure inference from a marker process based on a bivariate Wiener model
DOI: 10.1007/S10985-020-09514-0
Recommended article: Mixtures of products of Dirichlet processes for variable selection in survival analysis
Recommended article: Reliable survival analysis based on the Dirichlet process
Recommended article: Semiparametric mixture survival model with application to MRFIT study
Recommended article: Bayesian semiparametric modeling of survival data based on mixtures of \(B\)-spline distributions
Recommended article: Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data
Recommended article: A dependent Dirichlet process model for survival data with competing risks
Recommended article: Q4427562
Recommended article: A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring
description: scientific article; zbMATH DE number 7447314