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

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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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Tom, B. D. M., Su, L., & Farewell, V. T. (2016). A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data. Statistical Methods in Medical Research, 25(5), 2014–2020. https://doi.org/10.1177/0962280213509798

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