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The only other characteristics associated with knowledge of CRC screening in bivariate analyses were race and education (Table 2).
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The REGARDS study did adjust its sampling rates to meet race and sex recruitment goals; however, these analyses were stratified by race and controlled for sex, and, as such, race would not have played a role in any results and sex would not have played a role in the multivariable results.
Variables that were included in the logistic regression analyses were sex, age, race, location, diagnosis, body part, disposition and whether they were identified as being on a lap at the time of their injury.
In the study population, cross-sectional frailty analyses were stratified by race and sex.
No differences in risk were observed when analyses were stratified by race.
Similar distributions of characteristics were observed when analyses were stratified by race.
All analyses were stratified by race to crudely account for population stratification.
Potential confounding variables that were included in the analyses were age, sex, race, season, sexual maturation, physical activity, and %BF.
Odds ratios (OR) and 95% confidence intervals (CI) from the multivariate logistic regression analyses were adjusted for race, BMI and age (≤ 50 or > 50).
Variables in the multivariate analyses were age, sex, race, number of chronic conditions, whether the patient lived alone and/or had a caregiver, mobility, cognitive impairment, medication assistance and primary payor.
RACE Analyses 5′ RACE analyses were performed choosing reverse primers surrounding pre-miRNA sequences while 3′RACE forward primers were designed to validate putative polyadenylation sites indicated in Figure 1 B. cDNA synthesis, PCR and nested-PCR were performed according to manufacturer's specifications (Invitrogen).
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