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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.
Afiliação
  • Tom BD; Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, UK brian.tom@mrc-bsu.cam.ac.uk.
  • Su L; Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, UK.
  • Farewell VT; Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, UK.
Stat Methods Med Res ; 25(5): 2014-2020, 2016 10.
Article em En | MEDLINE | ID: mdl-24201470
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article