نتایج جستجو برای: univariate analysis
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background and aims: pelvic organ prolapse (pop) is a common condition which affects on a large proportion of women. the objective of this study was to determine the risk factors of pop in iranian women. methods: this cross-sectional study was carried out to examine the role of demographic, anthropometric and clinical characteristics in pop disease in a sample of 365 females in ilam, iran. exam...
INTRODUCTION Measurement of health inequities is fundamental to all health equity initiatives. It is complex because it requires considerations of ethics, methods, and policy. Drawing upon the recent developments in related specialized fields, in this paper we incorporate alternative definitions of health inequity explicitly and transparently in its measurement. We propose a three-stage approac...
Although age is thought to correlate with the prognosis of glioma patients, the most appropriate age-group classification standard to evaluate prognosis had not been fully studied. This study aimed to investigate the influence of age-group classification standards on the prognosis of patients with high-grade hemispheric glioma (HGG). This retrospective study of 125 HGG patients used three diffe...
FAmle is a R package that may be used in order to carry out tasks that pertain to univariate frequency analysis. Basically, two general frameworks are being entertained here: maximum likelihood and Bayesian. More precisely, for a given problem, the user may decide to estimate the unknown parameters via maximum likelihood, and to then proceed to statistical inference accordingly, or to use a ful...
Abstract Threshold selection plays a key role in various aspects of statistical inference rare events. In this work, two new threshold methods are introduced. The first approach measures the fit exponential approximation above and achieves good performance small samples. second method smoothly estimates asymptotic mean squared error Hill estimator performs consistently well over wide range proc...
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The argument for preceding multiple analysis of variance (ANOVAS) with a multivariate analysis of variance (MANOVA) to control for Type I error is challenged. Several situations are discussed in which multiple ANOVAS might be conducted without the necessity of a preliminary MANOVA. Three reasons for considering a multivariate analysis are discussed: to identify outcome variable system construct...
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