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Both the metabolic syndrome and its components were used as binary outcomes in the subsequent analyses.
The majority of previous rat DCS research has used binary outcomes in the analysis.
Multiple logistic regression with GEE was used for binary outcomes in the secondary analysis.
Overall, 134 trials (51 surrogate outcome trials and 83 final outcome trials) reporting binary outcomes in the primary analysis were included.
If the binary outcomes (in the case crossover formulation) are clustered by day, then the variance of observed daily counts around the value predicted from that model will be overdispersed Poisson [ 2].
After combining continuous and binary outcomes in the overall sample, the estimated ratio of odds ratios showed a similar direction of effect (unadjusted 1.44, 95% confidence interval 0.83 to 2.49, P=0.20; adjusted 1.48, 0.83 to 2.62, P=0.18).
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For binary outcomes, in this setting where the amount of related data is small, but non-negligible, ordinary logistic regression is recommended.
For generation of binary outcomes in this study, we used the median as the cutoff point.
'Metabolic risk factor clustering' was treated as a binary outcome in the main analyses, the results of which may depend upon the specific cut-points chosen.
Examples: Ma et al. performed sensitivity analyses based on Bayesian and classical methods for analysing cluster RCTs with a binary outcome in the CHAT trial.
For the resulting binary outcome in the logistic regression analyses, the independent variable of interest was the log-transformed ∑PCB and various ∑PCB subsets (e.g., planar versus nonplanar).
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