Modeling zero-modified count and semicontinuous data in health services research part 2: case studies.


Journal Article

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. Copyright © 2016 John Wiley & Sons, Ltd.

Full Text

Duke Authors

Cited Authors

  • Neelon, B; O'Malley, AJ; Smith, VA

Published Date

  • November 30, 2016

Published In

Volume / Issue

  • 35 / 27

Start / End Page

  • 5094 - 5112

PubMed ID

  • 27500973

Pubmed Central ID

  • 27500973

Electronic International Standard Serial Number (EISSN)

  • 1097-0258

Digital Object Identifier (DOI)

  • 10.1002/sim.7063


  • eng

Conference Location

  • England