For the analysis of multivariate categorical longitudinal data, we propose an extension of the dynamic logit model. The resulting model is based on a marginal parameterization of the conditional ...

The model is a simultaneous version of the multivariate logit model, and can be estimated by maximum likelihood. An example is presented, dealing with the prediction of occupation and industry of ...

This retrospective cohort study used 2010–2011 US Medical Expenditure Panel Survey data. Difference-in-difference methods, multivariate logit model and survey procedures were employed. Time lag effect ...

Disease duration, disease activity, osteoporosis, and CRP levels were identified as predictors of MCI among older patients with RA.

We tested this hypothesis using a multivariate logit model that examined the impact of testing status on insurance changes controlling for possible confounding factors (such as marital status, age ...

The paper tests the effectiveness of financial soundness indicators (FSIs) as harbingers of banking crises, using multivariate logit models to see whether FSIs, broad macroeconomic indicators, and ...

This book also explains the differences and similarities between the many generalizations of the logistic regression model. The following topics are covered: binary logit analysis, logit analysis of ...