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Approximate Bayesian Model Selection with the Deviance Statistic [PDF]
, 2015 Bayesian model selection poses two main challenges: the specification of parameter priors for all models, and the computation of the resulting Bayes factors between models.
Bové, Daniel Sabanés +2 more
core +1 more source
Journal of Applied Animal Research, 2018 The aim of this study was to compare alternative models for the genetic evaluation of heifer fertility in Simmental–Simbrah cattle. The analyses were conducted using a database with 37,390 female birth information recorded from 1984 to 2007, and 59,018 ...
J. J. Baeza-Rodríguez +3 more
doaj +1 more source
mplot: An R Package for Graphical Model Stability and Variable Selection Procedures
Journal of Statistical Software, 2018 The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao ...
Garth Tarr +2 more
doaj +1 more source
Cluster-Robust Variance Estimation for Dyadic Data [PDF]
, 2015 Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the fact that multiple dyads share a member, and that ...
Aronow, Peter M. +2 more
core +3 more sources
Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture. [PDF]
PLoS ONE, 2016 Integrated Discrete Multiple Organ Co-culture (IDMOC) is emerging as an in-vitro alternative to in-vivo animal models for pharmacology studies. IDMOC allows dose-response relationships to be investigated at the tissue and organoid levels, yet, these ...
Thomas Ingersoll +6 more
doaj +1 more source
T4 rather than TSH correlates with BMD among euthyroid adults
Frontiers in Endocrinology, 2023 PurposeThe objective of this study was to evaluate the association between thyroid hormone and bone mineral density (BMD) among euthyroid adults.MethodsThis cross-sectional study researched the information from the National Health and Nutrition ...
Ning Sheng +4 more
doaj +1 more source
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
core +1 more source
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
, 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
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