Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782458108959784960 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5051603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tombriandm acorrectedformulationformarginalinferencederivedfromtwopartmixedmodelsforlongitudinalsemicontinuousdata AT suli acorrectedformulationformarginalinferencederivedfromtwopartmixedmodelsforlongitudinalsemicontinuousdata AT farewellvernont acorrectedformulationformarginalinferencederivedfromtwopartmixedmodelsforlongitudinalsemicontinuousdata AT tombriandm correctedformulationformarginalinferencederivedfromtwopartmixedmodelsforlongitudinalsemicontinuousdata AT suli correctedformulationformarginalinferencederivedfromtwopartmixedmodelsforlongitudinalsemicontinuousdata AT farewellvernont correctedformulationformarginalinferencederivedfromtwopartmixedmodelsforlongitudinalsemicontinuousdata |