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Changes from baseline were analyzed using ANCOVA, taking baseline values and age as covariates.
Repeated assessments over time were analyzed by means of a mixed model with repeated measures (ANCOVA), using an autoregressive correlation structure taking treatment groups, visits, and their interaction as fixed factors and baseline values and age as covariates.
Binary criteria assessing HbA1c at 12 months (HbA1c level <7.5%), changes in HbA1c at the end of follow-up (a relative decrease >10% between baseline and 12 months), and severe hypoglycemia episodes during follow-up were compared between groups using logistic regression with adjustment of two covariates (baseline values and age).
To account for any differences between the groups at baseline, separate analyses of covariance (ANCOVA) were conducted for each outcome measure to identify post-intervention differences between the three groups, using the baseline values and age as a covariate, and group and gender as fixed factors.
€ Adjusted for baseline values and age, gender, education level, employment status, Socio Economic Index For Areas, and Region; presents marginal means (or mean differences) with 95% Confidence Interval (CI) from linear mixed models that control for repeated measures and adjust for potential confounders, with the outcome time points of 6-months and 12-months.
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Multiple regression analysis (DataDesk 6.2.1; Data Description Inc) was performed to consider the effect of group on achieved growth at each time point with adjustment of each variable for baseline value and age.
To examine the effects of finasteride treatment on circulating estrogen concentrations, the absolute change as a linear outcome was modeled by treatment arm (finasteride vs. placebo) with control for baseline value and age.
Multivariate analysis (corrected for baseline value and age) of the influence of gender, response to treatment and kind of therapy on the mean difference between baseline and follow up (course of Health Related Quality of Life) of the different dimensions of the SF-36.
Group comparisons for mean in the cross-sectional outcome were performed by ANCOVA, adjusted for the baseline values and covariates (age and BMI).
Twin studies differed in sample age, baseline values, and PA intervention, although the exclusion of any one study did not affect the results.
To determine the short (baseline-3 months) and long term (baseline −12 months) effectiveness of e-Exercise on primary and secondary outcomes, multi-level modelling of repeated measures will be performed controlling for baseline values and relevant confounders such as age, OA location and gender.
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reference values and age
baseline concentrations and age
baseline values and demography
baseline values and sex
baseline values and clustering
baseline values and treatment
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baseline values and cluster
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baseline characteristics and age
baseline values and stratification
baseline values and standard
baseline data and age
baseline values and frequency
baseline values and subject
baseline values and time
baseline ages and age
baseline values and rescue
baseline values and survival
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