Bayesian threshold regression model with random effects for recurrent events

DOI10.1007/S11009-015-9445-8zbMath1398.62261OpenAlexW2037982514MaRDI QIDQ905219

Polychronis Economou, Sonia Malefaki, Chrys Caroni

Publication date: 14 January 2016

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-015-9445-8

zbMATH Keywords

Wiener processsurvival analysisinverse Gaussian distributionrecurrent eventsfirst hitting time regression

Mathematics Subject Classification ID

Gaussian processes (60G15) Censored data models (62N01) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)

Related Items (1)

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

Cites Work

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• 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
• A Dynamic Frailty Model for Multivariate Survival Data

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