Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models
نویسندگان
چکیده
منابع مشابه
Predictive factors for infertility of women: an univariate and multivariate logistic regression analysis
Background and aims: Infertility is a major problem during reproductive age. Physical and psychological effects of infertility in women are problematic. The aim of this study was to determine the potential predictive factors of infertility, among women referring both public and private health centers in Ilam province, western Iran, in 2013. Methods: In this cross-sectional study, 1013 women re...
متن کاملBayesian multivariate logistic regression.
Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual outcomes. In addition, difficulties arise when simple noninformative priors are chosen for the covariance parameters. Motivated by these problems, we propose a new type of multivariate logistic dis...
متن کاملpredictive factors for infertility of women: an univariate and multivariate logistic regression analysis
background and aims: infertility is a major problem during reproductive age. physical and psychological effects of infertility in women are problematic. the aim of this study was to determine the potential predictive factors of infertility, among women referring both public and private health centers in ilam province, western iran, in 2013. methods: in this cross-sectional study, 1013 women ref...
متن کاملVariable Selection for Multivariate Logistic Regression Models
In this paper, we use multivariate logistic regression models to incorporate correlation among binary response data. Our objective is to develop a variable subset selection procedure to identify important covariates in predicting correlated binary responses using a Bayesian approach. In order to incorporate available prior information, we propose a class of informative prior distributions on th...
متن کاملPrevalence and Predictive Factors of Sexual Dysfunction in Iranian Women: Univariate and Multivariate Logistic Regression Analyses
BACKGROUND Female sexual dysfunction, which can occur during any stage of a normal sexual activity, is a serious condition for individuals and couples. The present study aimed to determine the prevalence and predictive factors of female sexual dysfunction in women referred to health centers in Ilam, the Western Iran, in 2014. METHODS In the present cross-sectional study, 444 women who attende...
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ژورنال
عنوان ژورنال: The International Journal of Biostatistics
سال: 2020
ISSN: 1557-4679,2194-573X
DOI: 10.1515/ijb-2020-0045