A probit- log- skew-normal mixture model for repeated measures data with excess zeros with application to a cohort study of paediatric respiratory symptoms

摘要

BackgroundA zero-inflated continuous outcome is characterized by occurrence of "excess" zeros that more than a single distribution can explain, with the positive observations forming a skewed distribution. Mixture models are employed for regression analysis of zero-inflated data. Moreover, for repeated measures zero-inflated data the clustering structure should also be modeled for an adequate analysis.