Birth weight and calving difficulty were analyzed with Bayesian methodology using univariate linear models, a bivariate linear model, a threshold model for calving difficulty, and a joint threshold-linear model using a probit approach. Field data included 26,006 records of Gelbvieh cattle. Simulated populations were generated using parameters estimated from the field data. The Gibbs sampler was...

www.pharmacypractice.org 201 ABSTRACT There are limited studies on quantifying the impact of patient satisfaction with pharmacist consultation on patient medication adherence. Objectives: The objective of this study is to evaluate the effect of patient satisfaction with pharmacist consultation services on medication adherence in a large managed care organization. Methods: We analyzed data from ...

UNLABELLED There are limited studies on quantifying the impact of patient satisfaction with pharmacist consultation on patient medication adherence. OBJECTIVES The objective of this study is to evaluate the effect of patient satisfaction with pharmacist consultation services on medication adherence in a large managed care organization. METHODS We analyzed data from a patient satisfaction su...

In many social science researches and econometric applications data that arise through measurement of discrete outcomes or discrete choice among a set of alternatives are in the form of ordinal or ordered categorical data. Such examples, among others, are selfreport responses in household surveys, modeling labor force participate, or decision of which product to choose or which candidate to ele...

In sociological research, it is often difficult to compare nonnested models and to evaluate the fit of models in which outcome variables are not normally distributed. In this article, the authors demonstrate the utility of Bayesian posterior predictive distributions specifically, as well as a Bayesian approach to modeling more generally, in tackling these issues. First, they review the Bayesian...

Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies. For binary data (two categories) probit and logit models or semiparametric methods are used. For multinomial data (more than two categories) that are unordered, common models are multinomial and...

36 37 As tour-based methods for activity and travel participation patterns replaces trip-based methods, time-38 of-day (TOD) choice modeling remains problematic. In practice, most travel demand model systems 39 handle tour scheduling via joint-choice multinomial logit (MNL) models, which suffer from the well-40 known independence of irrelevant alternatives (IIA) assumption. This paper introduce...

This paper contributes to the analysis of the relation between child malnutrition and morbidity by providing a comprehensive assessment of the mutual impacts of the two phenomena. We investigate the synergistic relationship between malnutrition and morbidity among infants in Nairobi's poor urban settlements. We use data from 3,459 children enrolled in an ongoing Maternal and Child Health Longit...