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A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data

For semi-continuous data which are a mixture of true zeros and continuously distributed positive values, the use of two-part mixed models provides a convenient modelling framework. However, deriving population-averaged (marginal) effects from such models is not always straightforward. Su et al. pres...

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Detalles Bibliográficos
Autores principales: Tom, Brian DM, Su, Li, Farewell, Vernon T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051603/
https://www.ncbi.nlm.nih.gov/pubmed/24201470
http://dx.doi.org/10.1177/0962280213509798
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author Tom, Brian DM
Su, Li
Farewell, Vernon T
author_facet Tom, Brian DM
Su, Li
Farewell, Vernon T
author_sort Tom, Brian DM
collection PubMed
description For semi-continuous data which are a mixture of true zeros and continuously distributed positive values, the use of two-part mixed models provides a convenient modelling framework. However, deriving population-averaged (marginal) effects from such models is not always straightforward. Su et al. presented a model that provided convenient estimation of marginal effects for the logistic component of the two-part model but the specification of marginal effects for the continuous part of the model presented in that paper was based on an incorrect formulation. We present a corrected formulation and additionally explore the use of the two-part model for inferences on the overall marginal mean, which may be of more practical relevance in our application and more generally.
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spelling pubmed-50516032016-10-12 A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data Tom, Brian DM Su, Li Farewell, Vernon T Stat Methods Med Res Articles For semi-continuous data which are a mixture of true zeros and continuously distributed positive values, the use of two-part mixed models provides a convenient modelling framework. However, deriving population-averaged (marginal) effects from such models is not always straightforward. Su et al. presented a model that provided convenient estimation of marginal effects for the logistic component of the two-part model but the specification of marginal effects for the continuous part of the model presented in that paper was based on an incorrect formulation. We present a corrected formulation and additionally explore the use of the two-part model for inferences on the overall marginal mean, which may be of more practical relevance in our application and more generally. SAGE Publications 2013-11-06 2016-10 /pmc/articles/PMC5051603/ /pubmed/24201470 http://dx.doi.org/10.1177/0962280213509798 Text en © The Author(s) 2013 http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Articles
Tom, Brian DM
Su, Li
Farewell, Vernon T
A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
title A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
title_full A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
title_fullStr A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
title_full_unstemmed A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
title_short A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
title_sort corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051603/
https://www.ncbi.nlm.nih.gov/pubmed/24201470
http://dx.doi.org/10.1177/0962280213509798
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