Ornstein-Uhlenbeck threshold regression for time-to-event data with and without a cure fraction
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605476047 | ||
| 003 | CHVBK | ||
| 005 | 20210128100354.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10985-014-9306-8 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10985-014-9306-8 | ||
| 245 | 0 | 0 | |a Ornstein-Uhlenbeck threshold regression for time-to-event data with and without a cure fraction |h [Elektronische Daten] |c [Roger Erich, Michael Pennell] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Cancer clinical trial |2 nationallicence | |
| 690 | 7 | |a First hitting time model |2 nationallicence | |
| 690 | 7 | |a Gaussian process |2 nationallicence | |
| 690 | 7 | |a Mixture model |2 nationallicence | |
| 690 | 7 | |a Nonproportional hazards |2 nationallicence | |
| 690 | 7 | |a Survival analysis |2 nationallicence | |
| 700 | 1 | |a Erich |D Roger |u U.S. Air Force Institute of Technology, 45433, Wright-Patterson Air Force Base, OH, USA |4 aut | |
| 700 | 1 | |a Pennell |D Michael |u Division of Biostatistics, College of Public Health, The Ohio State University, 246 Cunz Hall, 1841 Neil Avenue, 43210, Columbus, OH, USA |4 aut | |
| 773 | 0 | |t Lifetime Data Analysis |d Springer US; http://www.springer-ny.com |g 21/1(2015-01-01), 1-19 |x 1380-7870 |q 21:1<1 |1 2015 |2 21 |o 10985 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10985-014-9306-8 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10985-014-9306-8 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Erich |D Roger |u U.S. Air Force Institute of Technology, 45433, Wright-Patterson Air Force Base, OH, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Pennell |D Michael |u Division of Biostatistics, College of Public Health, The Ohio State University, 246 Cunz Hall, 1841 Neil Avenue, 43210, Columbus, OH, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Lifetime Data Analysis |d Springer US; http://www.springer-ny.com |g 21/1(2015-01-01), 1-19 |x 1380-7870 |q 21:1<1 |1 2015 |2 21 |o 10985 | ||