Sentence examples for binary outcome measures were from inspiring English sources

Only four ProM proper age contrasts with non-focal cues and binary outcome measures were identified by the review.

Two binary outcome measures were compared with χ test.

Models for the six binary outcome measures were re-estimated on the remaining subset of variables.

Binary outcome measures are therefore less sensitive to change than continuous measures.

Performance indicators based on the binary outcome measures are shown in Table 3.

However, where binary outcome measures are required, results based on continuous measures can be transformed subsequently using cut-off points, [ 49].

For both analyses, based on the HAQ improvement as well as based on the ACR response, differences between treatments detected by the binary outcome measures are subsets of the differences detected by the underlying continuous effects.

Binary outcome measures are widely used in trials for smoking, alcohol and drug misuse where the treatment goal is abstinence 1– 4. In smoking cessation trials, participants who do not report their smoking status at follow-up are often assumed to be smoking 5– 8, and the Russell Standard 9, 10 requires this.

Because our outcome measures were binary variables, we used multivariate logistic regression models to adjust for potential confounders in the relationship between diarrheal disease and program participation.

In 7 of the 15 abstracts in O2 (partial outcome measures and values), the primary outcome measures were binary events, and could be converted to probabilities for decision analyses.

Outcome measures were adverse events.