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The strength of association between two variables was measured using odds ratios and 95% confidence intervals.
The effect size was measured using odds ratios (OR) and 95% confidence interval (CI).
These associations were measured using odds ratio (OR) and calculating the 95%% confidence interval (CI).
Co-occurrence between symptoms was measured using odds ratios estimated using logistic regression.
The effects of model predictors were measured using odds ratios (95% CI) and P values.
The strength of the association between each patient characteristic and prescribed drug class was measured using odds ratios.
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Genomic signature variances within genomes can be measured using odds-ratios of genomic oligonucleotide frequencies divided by approximated oligonucleotide frequencies from smaller chunks of DNA, ranging from a few to a hundred kbps, and compared to the corresponding odds-ratios for the whole DNA sequence [25].
We restrict our analysis to dichotomous outcome data measured using odds-ratio (OR) due to its mathematical properties [ 27– 29].
The strength of this association was measured using Odds-Ratios (OR): an OR lower than 1 indicated a negative association whereas an OR higher than 1 implied a positive association.
In a logistic regression model, the association between exposure and outcome is measured using the odds ratio (OR).
The strength of association between measures and outcomes was measured using unadjusted odds ratios (OR).
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