Sentence examples for binary outcome data were from inspiring English sources

Binary outcome data were analysed using the chi-square test.

17 Multivariable analysis of binary outcome data was assessed by logistic regression.

The analysis of randomized controlled trials with incomplete binary outcome data is challenging.

Categorical and binary outcome data are analysed using Fisher's exact tests, continuous outcome data are compared using t-tests if normally distributed, Mann-Whitney U test if skewed.

However, our method is applicable to all trial areas where binary outcome data are collected; for example, Maisel et al. 2 found that most studies in their meta-analysis of treatments for alcohol-use disorders considered dropouts to have relapsed.

Outcome data were summarized using risk ratios (RR) with 95% confidence intervals (CI) for binary outcomes or mean difference (MD) with 95% CI for continuous outcomes.

Outcome data were complete.

Categorical and binary outcome data will be analysed using chi-square tests; continuous outcome data will be compared using t-tests if normally distributed, Mann-Whitney U test if skewed.

For binary outcome data it is the probability that a randomly chosen subject from the event group has a higher predicted probability of having an event than a randomly chosen subject from the non-event group.

The log-binomial regression method provides relative risk estimates as a measure of association using binary outcome data which are easier to interpret than odds ratios obtained from the more traditional logistic regression model.

For analyzing moderators and binary outcome data, multiple imputations were used to replace missing values.