Two‐part models for repeatedly measured ordinal data with “don't know” category-Reference-Cited by-同舟云学术

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Two‐part models for repeatedly measured ordinal data with “don't know” category

Published:2020-09-09 Issue:30 Volume:39 Page:4574-4592
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Gueorguieva Ralitza¹²^ORCID,Buta Eugenia¹,Morean Meghan²,Krishnan‐Sarin Suchitra²

Affiliation:

1. Department of Biostatistics Yale Center for the Study of Tobacco Products (TCORS), Yale School of Public Health New Haven Connecticut USA

2. Department of Psychiatry Yale Center for the Study of Tobacco Products (TCORS), Yale School of Medicine New Haven Connecticut USA

Funder

National Center for Advancing Translational Sciences

National Institute on Drug Abuse

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8739

Reference64 articles.

1. A survey of models for repeated ordered categorical response data

2. A bivariate cumulative probit regression model for ordered categorical data;Kim K;Stat Med,1995

3. Latent-variable models for longitudinal data with bivariate ordinal outcomes

4. A Bounded Integer Model for Rating and Composite Scale Data

5. A new parsimonious model for ordinal longitudinal data with application to subjective evaluations of a gastrointestinal disease

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