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A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data
Author(s) -
Brian D. M. Tom,
Li Su,
Ver T. Farewell
Publication year - 2013
Publication title -
statistical methods in medical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.952
H-Index - 85
eISSN - 1477-0334
pISSN - 0962-2802
DOI - 10.1177/0962280213509798
Subject(s) - marginal model , inference , mixed model , marginal distribution , econometrics , computer science , component (thermodynamics) , mathematics , statistics , regression analysis , artificial intelligence , thermodynamics , physics , random variable
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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