Table 2 shows the unadjusted attendance proportions and odds ratios for each age, socioeconomic deprivation, invitation type and screening service group.
It is of note that we have combined a population-based risk assessment (based on population rates of late entry into HIV care) with a relative risk assessment (based on proportions and risk ratios for such late entry).
aPPRs, prevalence proportion ratios adjusted for all the variables included in the model.
The results are presented in terms of prevalence proportion ratios (PPR) for home delivery in a bivariate analysis, and crude and adjusted odds ratio in multivariate analyses.
Between-group differences are presented as odds ratios for differences in proportions, or as mean differences with 95% confidence intervals.
Odds ratios for these three proportions were estimated through logistic regression, adjusting for baseline A1C, education, ethnicity, age, sex, and diabetes duration.
The patterns of exposure of 24 case-patients and 65 healthy contacts were defined, and crude and adjusted prevalence proportion ratios (PPR) were estimated for different types of exposure.
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All data analyses were carried out using Stata 10, (version 10; StataCorp LP, College Station, TX, USA) except 95% confidence intervals (CIs) for standardized proportion ratios (SPRs), which were calculated manually.
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