نتایج جستجو برای: weighted kaplan
تعداد نتایج: 119881 فیلتر نتایج به سال:
The Kaplan–Meier estimator is a nonparametric estimator which may be used to estimate the survival distribution function from censored data. The estimator may be obtained as the limiting case of the classical actuarial (life table) estimator, and it seems to have been first proposed by Böhmer [2]. It was, however, lost sight of by later researchers and not investigated further until the importa...
Academic research is offers a fascinating opportunity to shape the technology of the future. My own research has focused non-photorealistic rendering (NPR). Whereas traditional rendering attempts to photorealistically simulate the world around us, NPR includes many diverse topics such as simulating traditional artistic media for both rendering and user interaction and exploring alternative meth...
Methods Observational retrospective study. All HIV naive patients who started HAART from 1996 to 2006 were included. Concordance between FIB-4 and APRI scores was assessed using the weighted kappa coefficient. Rates of transition from lower classes to higher classes were estimated by Kaplan-Meier analysis. Cox regression models were applied to assess possible predictors both at baseline and dur...
C N S S P E C T R U M S 355 ABSTRACT Attention-deficit/hyperactivity disorder (ADHD) is a developmental disorder which effects an estimated 3% to 5% of children. Despite estimates that ADHD persists in 30% to70% of adults having had the disorder in childhood, ADHD in adulthood remains controversial. This report summarizes current thinking in the diagnosis and etiology of adult ADHD. Most theori...
We consider two regularization approaches, the LASSO and the threshold-gradient-directed regularization, for estimation and variable selection in the accelerated failure time model with multiple covariates based on Stute's weighted least squares method. The Stute estimator uses Kaplan-Meier weights to account for censoring in the least squares criterion. The weighted least squares objective fun...
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