A semi‐parametric Bayesian model for semi‐continuous longitudinal data-Reference-Cited by-同舟云学术

A semi‐parametric Bayesian model for semi‐continuous longitudinal data

Published:2022-03-10 Issue:13 Volume:41 Page:2354-2374
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Ren Junting¹²^ORCID,Tapert Susan³,Fan Chun Chieh²⁴,Thompson Wesley K.²⁵

Affiliation:

1. Division of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science University of California San Diego La Jolla California USA

2. Population Neuroscience and Genetics Lab University of California San Diego La Jolla California USA

3. Department of Psychiatry University of California San Diego La Jolla California USA

4. Center for Human Development University of California San Diego La Jolla California USA

5. Department of Radiology University of California San Diego La Jolla California USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9359

Reference37 articles.

1. Transformations for semi-continuous data

2. Analyzing repeated measures semi-continuous data, with application to an alcohol dependence study

3. The ABCD study: understanding the development of risk for mental and physical health outcomes

4. A flexible two-part random effects model for correlated medical costs

5. A two-part mixed-effects model for analyzing longitudinal microbiome compositional data

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