Neelon, Brian O'Malley, James Smith, Valerie Data From: Modeling Zero-Modified Count and Semicontinuous Data in Health Services Research, Part 2: Case Studies This article is the second installment of a two-part tutorial on the analysis of zero-modified count and semicontinuous data. Part 1, which appears as a companion piece in this issue of Statistics in Medicine, provides a general background and overview of the topic, with particular emphasis on applications to health services research. Here, we present three case studies highlighting various approaches for the analysis of zero-modified data. The first case study describes methods for analyzing zero-inflated longitudinal count data. Case Study 2 considers the use of hurdle models for the analysis of spatiotemporal count data. The third case study discusses an application of marginalized two-part models to the analysis of semicontinuous health expenditure data. Health services research;Hurdle model;Semicontinuous data;Two-part model;Zero inflation;Medicine;Statistics 2016-07-12
    https://wiley.figshare.com/articles/dataset/Data_From_Modeling_Zero-Modified_Count_and_Semicontinuous_Data_in_Health_Services_Research_Part_2_Case_Studies/3482039
10.6084/m9.figshare.3482039.v1