Issues in Fitting Inverse Gaussian First Hitting Time Regression Models for Lifetime Data

DOI10.1080/03610918.2012.687061zbMath1302.62212OpenAlexW2063147562MaRDI QIDQ5299933

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Publication date: 24 June 2013

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.687061

zbMATH Keywords

Wiener processregressionfirst hitting timelifetime datainverse Gaussian

Mathematics Subject Classification ID

Censored data models (62N01) Linear inference, regression (62J99) 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

• Unnamed Item
• Proportional hazards and threshold regression: their theoretical and practical connections
• Review and implementation of cure models based on first hitting times for Wiener processes
• Survival in dynamic environments
• A case-control study relating railroad worker mortality to diesel exhaust exposure using a threshold regression model
• Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary

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