Methods for analyzing health care utilization and costs.
Publication
, Book
Diehr, P; Yanez, D; Ash, A; Hornbrook, M; Lin, DY
1999
Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.
Duke Scholars
DOI
Publication Date
1999
Volume
20
Start / End Page
125 / 144
Related Subject Headings
- United States
- Public Health
- Models, Statistical
- Humans
- Health Services Research
- Health Services Needs and Demand
- Health Services
- Health Care Costs
- Data Interpretation, Statistical
- 4206 Public health
Citation
APA
Chicago
ICMJE
MLA
NLM
Diehr, P., Yanez, D., Ash, A., Hornbrook, M., & Lin, D. Y. (1999). Methods for analyzing health care utilization and costs. (Vol. 20, pp. 125–144). https://doi.org/10.1146/annurev.publhealth.20.1.125
Diehr, P., D. Yanez, A. Ash, M. Hornbrook, and D. Y. Lin. Methods for analyzing health care utilization and costs. Vol. 20, 1999. https://doi.org/10.1146/annurev.publhealth.20.1.125.
Diehr P, Yanez D, Ash A, Hornbrook M, Lin DY. Methods for analyzing health care utilization and costs. Vol. 20. 1999.
Diehr, P., et al. Methods for analyzing health care utilization and costs. Vol. 20, 1999, pp. 125–44. Pubmed, doi:10.1146/annurev.publhealth.20.1.125.
Diehr P, Yanez D, Ash A, Hornbrook M, Lin DY. Methods for analyzing health care utilization and costs. 1999. p. 125–144.
DOI
Publication Date
1999
Volume
20
Start / End Page
125 / 144
Related Subject Headings
- United States
- Public Health
- Models, Statistical
- Humans
- Health Services Research
- Health Services Needs and Demand
- Health Services
- Health Care Costs
- Data Interpretation, Statistical
- 4206 Public health