caa a22 4500 605476047 CHVBK 20210128100354.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s10985-014-9306-8 doi (NATIONALLICENCE)springer-10.1007/s10985-014-9306-8 Ornstein-Uhlenbeck threshold regression for time-to-event data with and without a cure fraction [Elektronische Daten] [Roger Erich, Michael Pennell] In this paper we propose a threshold regression (TR) model for time to event data related to subject health using a latent Ornstein-Uhlenbeck (OU) process that fails once it hits a boundary value for the first time. Baseline covariates are incorporated into the analysis using a log-link function for the initial state of the health process. The model provides clinically meaningful covariate effects and does not require the proportional hazards assumption of the commonly used Cox model. Unlike TR models based on the Wiener process, the OU model allows increments in the health process to depend on previous values and drifts toward a state of equilibrium or homeostasis, which are present in many biological applications. We also extend our model to incorporate a cure rate for applications with improper survival functions, such as time to tumor recurrence in a cancer clinical trial. Our models are applied to overall and relapse-free survival data of melanoma patients undergoing definitive surgery. Springer Science+Business Media New York, 2014 Cancer clinical trial nationallicence First hitting time model nationallicence Gaussian process nationallicence Mixture model nationallicence Nonproportional hazards nationallicence Survival analysis nationallicence Erich Roger U.S. Air Force Institute of Technology, 45433, Wright-Patterson Air Force Base, OH, USA aut Pennell Michael Division of Biostatistics, College of Public Health, The Ohio State University, 246 Cunz Hall, 1841 Neil Avenue, 43210, Columbus, OH, USA aut Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/1(2015-01-01), 1-19 1380-7870 21:1<1 2015 21 10985 https://doi.org/10.1007/s10985-014-9306-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10985-014-9306-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Erich Roger U.S. Air Force Institute of Technology, 45433, Wright-Patterson Air Force Base, OH, USA aut NATIONALLICENCE 700 1- Pennell Michael Division of Biostatistics, College of Public Health, The Ohio State University, 246 Cunz Hall, 1841 Neil Avenue, 43210, Columbus, OH, USA aut NATIONALLICENCE 773 0- Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/1(2015-01-01), 1-19 1380-7870 21:1<1 2015 21 10985