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. Copyright © 2016 John Wiley & Sons, Ltd.
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Statistics & Probability
- Models, Statistical
- Humans
- Health Services Research
- Health Expenditures
- Biometry
- 4905 Statistics
- 4202 Epidemiology
- 1117 Public Health and Health Services
- 0104 Statistics
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Statistics & Probability
- Models, Statistical
- Humans
- Health Services Research
- Health Expenditures
- Biometry
- 4905 Statistics
- 4202 Epidemiology
- 1117 Public Health and Health Services
- 0104 Statistics