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- Title
An Analysis of Physician Visit Data From a complex Sample Survey.
- Authors
Freeman Jr., Daniel H.; Freeman, Jean L.; Koch, Gary G.; Brock, Dwight B.
- Abstract
A generalization of ordinary least squares methods is used in the analysis of physician visit data from a complex sample survey. The emphasis, in this paper, is on the valid substantive inferences to be drawn from an analysis of this type of data. The procedure is found to be useful in two ways. First, the results of a comparative sampling study are reported. (See Appendix) Second, the procedure is used to remove statistically non-significant variation from the data in order to generate fitted or smoothed estimates on which the substantive analyst may focus his attention. These fitted values are then examined for implications to physician service utilization on a national basis. It is concluded that age is an important variable while the effect of sex and race depends on age. Similarly, residence and income are important but the effect of education depends on the level of income.
- Subjects
UNITED States; PHYSICIAN services utilization; OUTPATIENT medical care use; MEDICAL care use; PHYSICIANS; GENERAL practitioners; PUBLIC health; LEAST squares; COMPARATIVE studies; STATISTICAL services
- Publication
American Journal of Public Health, 1976, Vol 66, Issue 10, p979
- ISSN
0090-0036
- Publication type
Article
- DOI
10.2105/AJPH.66.10.979