A robust Bayesian mixed effects approach for zero inflated and highly skewed longitudinal count data emanating from the zero inflated discrete Weibull distribution-Reference-Cited by-同舟云学术

A robust Bayesian mixed effects approach for zero inflated and highly skewed longitudinal count data emanating from the zero inflated discrete Weibull distribution

Published:2020-04-30 Issue:9 Volume:39 Page:1275-1291
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Burger Divan Aristo¹^ORCID,Schall Robert²,Ferreira Johannes Theodorus¹,Chen Ding‐Geng¹

Affiliation:

1. Department of StatisticsUniversity of Pretoria Pretoria South Africa

2. Department of Mathematical Statistics and Actuarial ScienceUniversity of the Free State Bloemfontein South Africa

Funder

DST-NRF-SAMRC SARChI Research Chair in Biostatistics

Research Development Programme, University of Pretoria

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8475

Reference41 articles.

1. A tutorial on count regression and zero-altered count models for longitudinal substance use data.

2. Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data

3. Negative binomial loglinear mixed models

4. A Family of Generalized Linear Models for Repeated Measures with Normal and Conjugate Random Effects

5. Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing

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