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Logistic regression methods would apply for binary outcomes.
Applying the Law of Iterated Logarithm to Control Type I Error in Cumulative Meta-Analysis for Binary Outcomes.
Wilcoxon Rank Sum tests were used for the comparison of ordinal measures for binary outcomes.
Unadjusted and adjusted odds ratios (OR) for binary outcomes were estimated by simple and multiple logistic regression modeling, respectively.
For binary outcomes we used random effects logistic regression.
For binary outcomes, we calculated ORs and 95% CIs.
#Logistic regression producing odds ratios used for binary outcomes.
For binary outcomes (e.g. PCMD), probit regression coefficients are produced.
Statistics represent linear regression for titrated experiments and Student's t test for binary outcomes.
For binary outcomes, c is identical to the area under the receiver operating characteristic curve [ 7].
We will use chi-squared test for binary outcomes, and T-test for continuous outcomes.
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