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Autor: =Ishwaran, Hemant
2 registros cumplieron la condición especificada en la base de información BIBCYT. ()
Registro 1 de 2, Base de información BIBCYT
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Ishwaran, Hemant ; James, Lancelot F.
Título: Computational Methods for Multiplicative Intensity Models Using Weighted Gamma Processes: Proportional Hazards, Marked Point Processes, and Panel Count Data
Páginas/Colación: pp. 175 - 190
Url: Ir a http://lysander.asa.catchword.org/vl=1057504/cl=192/nw=1/rpsv/cw/asa/01621459/v99n465/s18/p175http://lysander.asa.catchword.org/vl=1057504/cl=192/nw=1/rpsv/cw/asa/01621459/v99n465/s18/p175
Journal of the American Statistical Association Vol. 99, no. 465 March 2004
Información de existenciaInformación de existencia

Resumen

 

We develop computational procedures for a class of Bayesian nonparametric and semiparametric multiplicative intensity models incorporating kernel mixtures of spatial weighted gamma measures. A key feature of our approach is that explicit expressions for posterior distributions of these models share many common structural features with the posterior distributions of Bayesian hierarchical models using the Dirichlet process. Using this fact, along with an approximation for the weighted gamma process, we show that with some care, one can adapt efficient algorithms used for the Dirichlet process to this setting. We discuss blocked Gibbs sampling procedures and Pólya urn Gibbs samplers. We illustrate our methods with applications to proportional hazard models, Poisson spatial regression models, recurrent events, and panel count data.
Registro 2 de 2, Base de información BIBCYT
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Ishwaran, Hemant
Título: Relative Risk Forests for Exercise Heart Rate Recovery as a Predictor of Mortality
Páginas/Colación: pp. 591 - 600
Url: Ir a http://oberon.asa.catchword.org/vl=5518955/cl=25/nw=1/rpsv/cw/asa/01621459/v99n467/s6/p591http://oberon.asa.catchword.org/vl=5518955/cl=25/nw=1/rpsv/cw/asa/01621459/v99n467/s6/p591
Journal of the American Statistical Association Vol. 99, no. 467 September 2004
Información de existenciaInformación de existencia

Resumen

 

Recent studies have confirmed heart rate fall after treadmill exercise testing, or heart rate recovery, as a powerful predictor of mortality from heart disease. Heart rate recovery depends on central reactivation of vagal tone and decreased vagal activity is a risk factor for death. If heart rate recovery is defined as the fall in heart rate after 1 minute following peak exercise, then a heart rate recovery value of 12 beats per minute (bpm) or lower has been shown to be a good prognostic threshold for identifying patients at high risk. Although this finding establishes a simple, useful relationship between heart recovery and mortality, a working understanding of how heart rate recovery interacts with other characteristics of a patient in determining risk of death is still largely unexplored. Such knowledge, addressed in this article, could improve the prognostic value of the exercise test. Our analysis is based on over 23,000 patients who underwent exercise testing. A rich assortment of data was collected on these patients, including clinical and physiological information, heart rate recovery, and other exercise test performance measures. Our approach was to grow relative risk forests, a novel method that combines random forest methodology with survival trees grown using Poisson likelihoods. Our analysis reveals a complex relationship between peak heart rate, age, level of fitness, heart rate recovery, and risk of death.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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