Results 31 to 40 of about 208,247 (273)
, 2021 Power-expected-posterior (PEP) methodology, which borrows ideas from the literature on power priors, expected-posterior priors and unit information priors, provides a systematic way to construct objective priors. The basic idea is to use imaginary training samples to update a noninformative prior into a minimally-informative prior.
Porwal, Anupreet, Rodriguez, Abel
openaire +2 more sources
Evidence Synthesis for Decision Making 2:A Generalized Linear Modeling Framework for Pairwise and Network Meta-analysis of Randomized Controlled Trials [PDF]
, 2012 We set out a generalized linear model framework for the synthesis of data from randomized controlled trials. A common model is described, taking the form of a linear regression for both fixed and random effects synthesis, which can be implemented with ...
Ades, A E +3 more
core +2 more sources
Effects of Omitting Non-confounding Predictors From General Relative-Risk Models for Binary Outcomes
Journal of Epidemiology, 2019 Background: The effects, in terms of bias and precision, of omitting non-confounding predictive covariates from generalized linear models have been well studied, and it is known that such omission results in attenuation bias but increased precision with ...
John Cologne +3 more
doaj +1 more source
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification [PDF]
, 2015 We propose a high dimensional classification method that involves nonparametric feature augmentation. Knowing that marginal density ratios are the most powerful univariate classifiers, we use the ratio estimates to transform the original feature ...
Fan, Jianqing +3 more
core +1 more source
GalaxiesWe develop predictive models for OH maser occurrence in Galactic star-forming regions by integrating dense-clump physical properties from the APEX Telescope Large Area Survey of the Galaxy (ATLASGAL) and Herschel Infrared Galactic Plane Survey (Hi-GAL ...
Dmitry A. Ladeyschikov +2 more
doaj +1 more source
Non-Linear Dynamic Modelling and Morecasting in Numbers of Patients with Cancer Disease in Nineveh City by Using Bayesian Approach [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 This research deals with modeling cumulative number of patients with cancer disease in Nineveh Iraq. The method is based on classes of Exponential Growth Models and uses the ideas of Non-Linear Dynamic Generalized Model(NLDGM). We take three types of ;
doaj +1 more source
PLoS ONE, 2021 In soybean variety development and genetic improvement projects, iron deficiency chlorosis (IDC) is visually assessed as an ordinal response variable.
Zhanyou Xu +3 more
doaj +1 more source
A Statistical Analysis of the Lake Levels at Lake Neusiedl
Austrian Journal of Statistics, 2016 A long record of daily data is used to study the lake levels of Lake Neusiedl, a large steppe lake at the eastern border of Austria. Daily lake level changes are modeled as functions of precipitation, temperature, and wind conditions.
Johannes Ledolter
doaj +1 more source
Detection of mind wandering using EEG: Within and across individuals.
PLoS ONE, 2021 Mind wandering is often characterized by attention oriented away from an external task towards our internal, self-generated thoughts. This universal phenomenon has been linked to numerous disruptive functional outcomes, including performance errors and ...
Henry W Dong +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source