Sentence examples for categorical efficacy from inspiring English sources

For categorical efficacy analyses, non-completers were considered treatment failures.

Categorical efficacy variables were analyzed using noncompleters considered failure imputation.

Secondary categorical efficacy endpoints were compared between the groups using χ tests and Mann–Whitney U-tests as appropriate.

Treatment group differences in categorical efficacy measures, including the primary efficacy outcome, were analysed using Fisher exact tests.

All categorical efficacy parameters were analyzed using a Cochran-Mantel-Haenszel method with adjustment for the stratification variables.

Treatment group differences in categorical efficacy measures were analysed with Fisher exact tests at a two-sided significance level of 0.05.

A logistic regression model including treatment and baseline in the model was used for categorical secondary efficacy variables.

Data on the categorical secondary efficacy variables (assessments of soft tissue swelling and local palpatory pain at the surgery site, wound healing and the general assessment of analgesic and anti-inflammatory efficacy) were evaluated statistically via chi-square analyses.

The categorical secondary efficacy endpoint (proportion of subjects reaching HbA1c <7.0%) was analyzed using a logistic model with treatment and stratification factors as fixed effects and baseline HbA1c as a covariate.

Additional categorical secondary efficacy variables included the percentage of participants achieving an HbA1c target of <7% or ≤6.5% (<53 or ≤48 mmol/mol) at week 24 and the percentage of participants requiring rescue therapy during the double-blind 24-week period.

15 For the categorical measures of efficacy, the end of trial results were pooled and estimated using the relative risk (RR) with random effect model.