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A logistic regression model including treatment and baseline in the model was used for categorical secondary efficacy variables.
Data were analyzed by ANOVA with a model including treatment, cow, and period effects.
In a pooled analysis of two comparable Ph 2 trials (DMD114117, DMD114876), a subset of boys with similar BL demographic and functional characteristics who received DRIS 6 mg/kg/wk (n = 36) was compared with PBO-treated boys (n = 34; Mixed-Effect Model Repeated Measure model including Treatment, Visit, Treatment by Visit, Country/Study, BL 6MWD, BL 6MWD by Visit).
The analysis was done using the ANCOVA model including treatment and baseline as covariate.
A second model including treatment and center interaction was fitted explanatorily.
Hypoglycaemic episodes were analysed using a generalised linear model including treatment and country as fixed effects.
Similar(25)
The ANCOVA model included treatment group, site, smoking status (yes/no), strata level of number of bleeding sites and the appropriate baseline (GSI, GI, overall plaque or interproximal plaque) as a covariate.
The model included treatment, habitat, population, and all two-way and three-way interactions between these parameters as fixed factors.
The model included treatment as main effects and age, body mass index (BMI), pre AMH, parity, pre FSH, and pre LH as covariates.
The ancova model included treatment, period, sequence and subject.
The model included treatment, time, and the interaction between these.
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