Zero-augmented beta-prime model for multilevel semi-continuous data: a Bayesian inference.

ABSTRACT: Semi-continuous data characterized by an excessive proportion of zeros and right-skewed continuous positive values appear frequently in medical research. One example would be the pharmaceutical expenditure (PE) data for which a substantial proportion of subjects investigated may report zero. Two-part mixed-effects models have been developed to analyse clustered measures of semi-continuous data from multilevel studies. In this study, we propose a new flexible two-part mixed-effects model with skew distributions for nested semi-continuous cost data under the framework of a Bayesian approach. The proposed model specification consists of two mixed-effects models linked by the correlated random effects: Part I) a model on the occurrence of positive values using a generalized logistic mixed mode

SUBMITTER: Kamyari N 

PROVIDER: S-EPMC9628168 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature