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When studies report proportions such as sensitivity or specificity, it is customary to meta-analyze them using the DerSimonian and Laird random effects model.
We report proportions and their 95% confidence intervals (95%CI).
We report proportions of continued drug, alcohol, and sexual risk behaviors in Table 2. Our assumption that participants lost to follow-up continued the risky behavior yielded a conservative estimate of intervention effects; we also present alternate outcomes where those lost to follow-up were excluded; censoring participants lost to follow-up did not substantively change outcomes.
We report proportions with 95% confidence intervals (CI).
We did report proportions of APR-DRG severity in the PN population for descriptive purposes.
We report proportions with 95% confidence intervals (CIs) for binary data.
Similar(46)
DURAC II 35 and Thrive III 41 did not report proportion of patients with provoked events.
We instead report proportion of children not immunized for these birth cohorts.
For the binary variables, we report proportion in each group, difference in proportions across groups, and relative risks.
Descriptive statistics were generated with continuous variables reporting means and categorical data reporting proportions.
For discrete data, we reported proportions.
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