Ornstein-Uhlenbeck threshold regression for time-to-event data with and without a cure fraction

DOI10.1007/s10985-014-9306-8zbMath1322.62019OpenAlexW1986136004WikidataQ23920422 ScholiaQ23920422MaRDI QIDQ746631

Michael L. Pennell, Roger Erich

Publication date: 16 October 2015

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

Full work available at URL: https://doi.org/10.1007/s10985-014-9306-8

zbMATH Keywords

Gaussian processsurvival analysismixture modelnonproportional hazardscancer clinical trialfirst hitting time model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Reliability and life testing (62N05)

Related Items (1)

Semi-parametric survival analysis via Dirichlet process mixtures of the first hitting time model

Uses Software

• Stata
• invGauss
• stthreg

Cites Work

• Unnamed Item
• Stochastic model for analysis of longitudinal data on aging and mortality
• Modeling event times with multiple outcomes using the Wiener process with drift
• Covariates and random effects in a Gamma process model with application to degradation and failure
• Review and implementation of cure models based on first hitting times for Wiener processes
• Survival and event history analysis. A process point of view
• Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
• A random-walk model of human mortality and aging
• Understanding the shape of the hazard rate: A process point of view. (With comments and a rejoinder).
• Bayesian inference for multivariate survival data with a cure fraction
• Survival models based on the Ornstein-Uhlenbeck process
• Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary
• Bayesian random-effects threshold regression with application to survival data with nonproportional hazards
• First-passage-time density and moments of the ornstein-uhlenbeck process
• Survival functions induced by stochastic covariate processes
• Some mean first-passage time approximations for the Ornstein-Uhlenbeck process
• Semi-Parametric Estimation in Failure Time Mixture Models
• A first passage time distribution for a discrete version of the Ornstein–Uhlenbeck process
• A Model for Markers and Latent Health Status
• Bayesian survival analysis
• A mixture model combining logistic regression with proportional hazards regression

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