A generalized Bayesian nonlinear mixed‐effects regression model for zero‐inflated longitudinal count data in tuberculosis trials-Reference-Cited by-同舟云学术

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A generalized Bayesian nonlinear mixed‐effects regression model for zero‐inflated longitudinal count data in tuberculosis trials

Published:2019-04-07 Issue: Volume: Page:
ISSN:1539-1604
Container-title:Pharmaceutical Statistics
language:en
Short-container-title:Pharmaceutical Statistics

Author:

Burger Divan Aristo¹^ORCID,Schall Robert²³^ORCID,Jacobs Rianne⁴,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

3. IQVIABiostatistics Bloemfontein South Africa

4. Bernoulli Institute for Mathematics, Computer Science and Artificial IntelligenceUniversity Groningen Groningen The Netherlands

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pst.1933

Reference52 articles.

1. Generalized Linear Models

2. Approximate Inference in Generalized Linear Mixed Models

3. A zero-inflated overdispersed hierarchical Poisson model

4. Skew-normal/independent linear mixed models for censored responses with applications to HIV viral loads

5. Mixed-effects Models with Skewed Distributions for Time-varying Decay Rate in HIV Dynamics

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonlinear mixed‐effects modeling of longitudinal count data: Bayesian inference about median counts based on the marginal zero‐inflated discrete Weibull distribution;Statistics in Medicine;2021-06-21

2. A robust Bayesian mixed effects approach for zero inflated and highly skewed longitudinal count data emanating from the zero inflated discrete Weibull distribution;Statistics in Medicine;2020-04-30

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