A Model for Markers and Latent Health Status

DOI10.1111/1467-9868.00261zbMath0968.62078OpenAlexW1967426547MaRDI QIDQ4512938

David A. Schoenfeld, Mei-Ling Ting Lee, Victor de Gruttola

Publication date: 17 September 2001

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9868.00261

zbMATH Keywords

survival analysisproportional hazardslatent processdisease progressionbivariate Wiener processhealth statusacquired immune deficiency syndromemarker

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Inference from stochastic processes (62M99)

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Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary ⋮ Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods ⋮ Markov additive processes for degradation with jumps under dynamic environments ⋮ Semiparametric predictive inference for failure data using first-hitting-time threshold regression ⋮ Bayesian random-effects threshold regression with application to survival data with nonproportional hazards ⋮ Random effects models for HIV marker data: practical approaches with currently available software ⋮ Estimating a unitary effect summary based on combined survival and quantitative outcomes ⋮ Ornstein-Uhlenbeck threshold regression for time-to-event data with and without a cure fraction ⋮ Modeling low birth weights using threshold regression: Results for U. S. birth data

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