A case-control study relating railroad worker mortality to diesel exhaust exposure using a threshold regression model

DOI10.1016/J.JSPI.2008.05.023zbMath1161.62432OpenAlexW2034258392WikidataQ28387432 ScholiaQ28387432MaRDI QIDQ1007416

Francine Laden, Eric Garshick, Jaime E. Hart, Mei-Ling Ting Lee, George A. Whitmore

Publication date: 20 March 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.05.023

zbMATH Keywords

Wiener processenvironmetricsstochastic processsurvival analysisepidemiologydeathfirst hitting timelatent processbiostatisticslung cancercardiovascular diseasedisease progressionexposure riskhealth statushealthy worker effectKaplan-Meier plotoccupational healthwork environment

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Issues in Fitting Inverse Gaussian First Hitting Time Regression Models for Lifetime Data ⋮ Semiparametric predictive inference for failure data using first-hitting-time threshold regression ⋮ Proportional hazards and threshold regression: their theoretical and practical connections ⋮ Connecting Threshold Regression and Accelerated Failure Time Models

Cites Work

• Multiple time scales and the lifetime coefficient of variation: Engineering applications
• Alternative time scales and failure time models
• Multiple time scales in survival analysis
• Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary
• On the collapsibility of lifetime regression models

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