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 ...
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 ...
If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Logistic Regression Using the SAS System: Theory and Application is for ...
This is a preview. Log in through your library . Abstract Random effects or mixed logit models are often used to model differences in consumer preferences. Data from choice experiments are needed to ...