Sentence examples for categories of modifier from inspiring English sources

Based on these critieria, we defined two separate categories of modifier single siRNAs: a high-confidence set, where all three siRNAs fell within the 95% confidence interval; and a medium-confidence set, where two of three siRNAs fell within the 95% confidence interval.

We performed additional sensitivity analyses dichotomizing modifiers at the 75th percentile and using multinomial logistic regression to look at categories of certain modifiers (e.g., race/ethnicity), as well as stratified analyses to examine certain modifiers within strata of another.

Effect modification was analysed by investigating the homogeneity of the effect of OPV in the different categories of the suspected modifier using Wald test statistics.

Effect modification was analysed by investigating the homogeneity of the effect of vitamin A supplementation in the different categories of the suspected modifier by using the Wald test.

We analysed effect modification by investigating the homogeneity of the effect of the intervention in the different categories of the suspected modifier, also by Wald test statistics.

Another large category of tau modifiers is comprised of RNA-binding proteins or other proteins associated with ribosomes and protein translation.

We evaluated effect modification by BMI (<25, ⩾25 kg m−2) by constructing likelihood ratio tests that assessed homogeneity of trends across categories of the potential effect modifier.

To compare the differences between the risk estimates in two categories of a potential effect modifier (e.g., the difference between males and females) we computed the 95percentt confidence interval as: Q ^ 1 - Q ^ 2 ± 1.96 SE ^ 1 2 + SE ^ 2 2 where and Q ^ 1 and Q ^ 2 are the estimates for the two categories (e.g., males and females), and S E 1 ^ and S E 2 ^ are their respective standard errors.

We also evaluated the associations between PCA factors and weight status stratified by the categories of the potential effect modifiers.

The odds of having an atypical fracture associated with bisphosphonate use were higher in patients with no previous fracture than in patients with a previous fracture (p-value for homogeneity = 0.02), whereas small differences in odds ratios were detected between categories of other potential effect modifiers (Table 5, see Supplementary data).

We then examined the prevalence of hypoglycemia across categories of the three potential effect modifiers.