Test statistics available are χ, χ-trend and odds ratio.
The χ2 test for trend and odds ratios are used to examine for an association in the use of the PAR with calendar time.
Genotype and allele carriage frequencies for each SNP were compared between cases and controls using the χ test for trend and odds ratios (OR) with 95% confidence interval (CI), respectively.
GWAS data is typically analyzed for univariate associations between SNPs and the disease of interest; the statistical tests used include the Pearson's chi-square test, the Fisher's exact test, the Cochran-Armitage trend test, and odds ratios [ 4].
Adjusted odds ratios for prevalent ischaemic heart disease (IHD) with self‐reported diabetes were similar across the strata of other risk factors with the exception of age and BMI, with a higher odds in participants aged 30 59 years (P = 0.001 for trend), and increasing odds with increasing BMI [ P < 0.001 for trend (Fig. 2)].
Significant odds ratios with a value of greater than 1.00 reflect an increase in trend and significant odds ratios with a value of less than 1.00 reflect a decrease in trend *p < .05, **p < .01, ***p < .001 Fig. 1 Trend in Past-month Drug Offers among Adolescents (aged 12 17): By Race/Ethnicity.
Statistical methods included trends analyses, odds ratios, and Poisson regression.
Multivariable logistic regression was used to explore associations between these variables and calendar year, age, sex and socio-economic status, and P-values for trends in odds were calculated.
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