نتایج جستجو برای: censoring etc

تعداد نتایج: 124390  

Journal: :HortTechnology 2000

Journal: :Behavior Analysis in Practice 2018

Journal: :The Journal of Laryngology, Rhinology, and Otology 1901

Journal: :The Journal of Laryngology, Rhinology, and Otology 1897

Journal: :Statistics in medicine 2012
Fang Xiang Susan Murray

The US lung allocation policy estimates each individual's urgency and transplant benefit in defining a lung allocation score (LAS). Transplant benefit, as defined by the Organ Procurement and Transplantation Network Thoracic Committee, is the days of life gained over the following year if transplanted versus not transplanted. Urgency is measured by days of life during the next year without tran...

2004
Roel BRAEKERS Noël VERAVERBEKE

We extend Cox’s classical regression model to accomodate partially informative censored data. In this type of data, each observation is the minimum of one lifetime and two censoring times. The survival function of one of these censoring times is a power of the survival function of the lifetime. We call this the informative censoring time. The distribution of the other censoring time has no rela...

Journal: :Human brain mapping 2014
Joshua S Siegel Jonathan D Power Joseph W Dubis Alecia C Vogel Jessica A Church Bradley L Schlaggar Steven E Petersen

Subject motion degrades the quality of task functional magnetic resonance imaging (fMRI) data. Here, we test two classes of methods to counteract the effects of motion in task fMRI data: (1) a variety of motion regressions and (2) motion censoring ("motion scrubbing"). In motion regression, various regressors based on realignment estimates were included as nuisance regressors in general linear ...

Journal: :Statistics and Computing 2023

Abstract We propose a variational inference-based framework for training Gaussian process regression model subject to censored observational data. Data censoring is typical problem encountered during the data gathering procedure and requires specialized techniques perform inference since resulting probabilistic models are typically analytically intractable. In this article we exploit sparse ind...

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