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

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...

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Bibliographic Details
Main Authors: Naser Kamyari, Ali Reza Soltanian, Hossein Mahjub, Abbas Moghimbeigi, Maryam Seyedtabib
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Research Methodology
Subjects:
Bayesian framework
Non-negative data
Two-part mixed-effects model
Skew distributions
Pharmaceutical expenditure
Online Access:https://doi.org/10.1186/s12874-022-01736-0

Internet

https://doi.org/10.1186/s12874-022-01736-0

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