HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Submit a response Purchase Article View Shopping Cart Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Freeman, D H Articles by Brock, D B Search for Related Content PubMed PubMed Citation Articles by Freeman, D H, Jr Articles by Brock, D B

An analysis of physician visit data from a complex sample survey.

D H Freeman, Jr, J L Freeman, G G Koch and D B Brock

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 resultion on a national basis. It is concluded that age is an imp-s of a comparative sampling study are reported. 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.