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Since the study hypothesis focused on black and white respondents, data from other race/ethnic strata were excluded.
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Respondent data from the RDS study was deposited into a STATA (StataCorp, College Station, TX) database, including the unique identifiers of coupons issued to respondents, as well as the identifier of the coupon with which they were referred.
p < 0.05, ** p < 0.01 1 (based on mean GP scores per practice) 2 (based on individual GP scores in practices with >1 respondent) Data from 60 practices where both patient and general practitioner data were available were used in the linear regression analysis.
From the total of 806 household's respondents, data was collected from 400 (49.6%) male and 406 (50.4%) female participants making the response rate of 100%.
Confirmatory factor analysis was performed to examine the goodness of fit of the five factor structure from the respondents' data.
The distribution of hours worked was similar between respondents and data from national medical labour force statistics.
Fahimi [ 13] found significant differences between BRFSS and NHIS respondents when data from HIV testing was reviewed.
Respondents in 2005-06 were compared with non-respondents using data from their baseline characteristics collected in 1988-89.
Respondent-level data from the SF-36 questions are first explicitly restructured into six health domains which describe 18 000 health states.
Respondent data were exported from Survey Monkey and descriptive analyses (counts, percentages/proportions) were performed.
11,518 respondents had valid data from the FBM; 994 (8.6%) probands were classified with CM.
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