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Modeling Semicontinuous Longitudinal Expenditures: A Practical Guide.
- Source :
-
Health Services Research . Aug2018 Supplement 1, Vol. 53, p3125-3147. 23p. 4 Charts. - Publication Year :
- 2018
-
Abstract
- <bold>Objective: </bold>To compare different strategies for analyzing longitudinal expenditure data that have a point mass at $0. We provide guidance on parameter interpretation, research questions, and model selection.<bold>Data Sources, Study Design, and Data Collection: </bold>One-part models, uncorrelated two-part models, correlated conditional two-part (CTP) models, and correlated marginalized two-part (MTP) models have been proposed for longitudinal expenditures that often exhibit a large proportion of zeros and a distribution of continuous, highly right-skewed positive values. Guidance on implementing and interpreting each of these model is illustrated with an example of longitudinal (2000-2003) specialty care expenditures of veterans with hypertension, drawn from Veterans Administration data.<bold>Principal Findings: </bold>The four strategies answer different research questions, are appropriate for different structures of data, and provide different results. If there is a point mass at $0, then the MTP model may be most useful if the primary interest is in mean expenditures of the entire population. A CTP model may be most useful if the primary interest is in the level of expenditures conditional on them being incurred.<bold>Conclusions: </bold>Researchers should consider which modeling strategy for longitudinal expenditure outcomes is both consistent with research aims and appropriate for the data at hand. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HYPERTENSION
*ACQUISITION of data
*MEDICAL care
*REGRESSION analysis
*MEDICAL care cost statistics
*COMPARATIVE studies
*EXPERIMENTAL design
*LONGITUDINAL method
*RESEARCH methodology
*MEDICAL care research
*MEDICAL cooperation
*RESEARCH
*STATISTICS
*DATA analysis
*EVALUATION research
*STATISTICAL models
Subjects
Details
- Language :
- English
- ISSN :
- 00179124
- Volume :
- 53
- Database :
- Academic Search Index
- Journal :
- Health Services Research
- Publication Type :
- Academic Journal
- Accession number :
- 130899129
- Full Text :
- https://doi.org/10.1111/1475-6773.12815