A multivariate logistic regression equation to screen for dysglycaemia: development and validation

A multivariate logistic regression equation to screen for dysglycaemia: development and validation.

AIMS To develop and validate an empirical equation to screen for dysglycaemia [impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and undiagnosed diabetes]. METHODS A predictive equation was developed using multiple logistic regression analysis and data collected from 1032 Egyptian subjects with no history of diabetes. The equation incorporated age, sex, body mass index (BMI), p...

A multivariate logistic regression equation to screen for diabetes: development and validation.

OBJECTIVE To develop and validate an empirical equation to screen for diabetes. RESEARCH DESIGN AND METHODS A predictive equation was developed using multiple logistic regression analysis and data collected from 1,032 Egyptian subjects with no history of diabetes. The equation incorporated age, sex, BMI, postprandial time (self-reported number of hours since last food or drink other than wate...

Bayesian 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...

Tutorial on Multivariate Logistic Regression

Logistic Regression for Multivariate Longitudinal Ordinal Data