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Groups with dichotomous outcomes will be compared using logistic regression models.
Continuous measures will be compared between groups using analysis of covariance, whereas binary outcomes will be compared using logistic regression.
Primary outcomes will be compared using logistic regression models using all available data and adjusted for baseline values.
Categorical outcomes will be compared using logistic regression and summarised by comparing the group values of the odds ratios for each outcome using 95% confidence intervals and associated p-values.
Model assumptions will be checked by standard diagnostic plots, and improvements in the intervention and control group based on the perceived ratings of change will be compared using logistic regression, and presented as odds ratios with 95% confidence intervals.
Improvement between acupuncture groups (based on the perceived ratings of change) will be compared using logistic regression with random effects as above and presented as odds ratios with 95% confidence intervals.
Similar(54)
Age groups were compared using logistic regression.
Different groups were compared using logistic regression analysis.
Genotype frequencies in cases and controls were compared using logistic regression.
Differences in genotype frequencies between the obese or diabetic cases and healthy controls were compared using logistic regression analyses.
Frequencies of genotypes and number of risk alleles between T2D cases and healthy controls were compared using logistic regression adjusted for age, sex and BMI.
More suggestions(15)
be determined using logistic
be compared using random
be compared using central
be compared using visual
be compared using relative
be estimated using logistic
be tested using logistic
be formed using logistic
be analyzed using logistic
be conducted using logistic
be undertaken using logistic
be calculated using logistic
be investigated using logistic
be compared using χ
be compared using 2-independent
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