Identifying the factors that influence change in SEBD using logistic regression analysis [PDF]
, 2013 Multiple linear regression and ANOVA models are widely used in applications since they provide effective statistical tools for assessing the relationship between a continuous dependent variable and several predictors. However these models rely heavily on
Camilleri, Liberato, Cefai, Carmel
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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
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, 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
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Asymptotic inference for semiparametric association models
, 2009 Association models for a pair of random elements $X$ and $Y$ (e.g., vectors) are considered which specify the odds ratio function up to an unknown parameter $\bolds\theta$.
Osius, Gerhard
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A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]
, 2011 Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over
Fitzmaurice, Garrett M. +6 more
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, 2014 The selection of optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is computationally expensive to evaluate.
Waite, T.W., Woods, D.C.
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Sparse Multinomial Logistic Regression via Approximate Message Passing
, 2016 For the problem of multi-class linear classification and feature selection, we propose approximate message passing approaches to sparse multinomial logistic regression (MLR).
Byrne, Evan, Schniter, Philip
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Evaluation of cavity occurrence in the Maynardville Limestone and the Copper Ridge Dolomite at the Y-12 Plant using logistic and general linear models [PDF]
, 1994 Several waste disposal sites are located on or adjacent to the karstic Maynardville Limestone (Cmn) and the Copper Ridge Dolomite (Ccr) at the Oak Ridge Y-12 Plant. These formations receive contaminants in groundwaters from nearby disposal sites, which can be transported quite rapidly due to the karst flow system.
Shevenell, L.A., Beauchamp, J.J.
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A Statistical Analysis of the Lake Levels at Lake Neusiedl [PDF]
, 2008 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.
Leodolter, Johannes
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Bayesian Binary Logistic Generalized Linear Mixed Models of Female Genital Mutilation
, 2020 Abstract Background: Female genital mutilation could be a global public unhealthiness, and it's practiced by many communities in Africa, special Ethiopia. In Ethiopia, the factors related to FGM practices are poorly understood. Therefore, this study aimed to assess the prevalence of female genital mutilation and its associated factors with FGM ...
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