Sentence examples for outcome counts from inspiring English sources

Exact(22)

We calculated rates for illegal behaviors, arrests, and convictions, where the outcome counts were the numerator and the person-time during which the respective outcome occurred was the denominator.

It can make your mate burst into laugher and ask, not unkindly, "Where'd you learn that?" Either outcome counts as a win.

Simulated daily outcome counts in these data sets were generated based on a Poisson distribution with the daily mean being the scaled daily expected outcome counts.

In the simulation results, increasing time-series length and average daily outcome counts both increased power to a similar extent.

Power was estimated by conducting analyses of the association between simulated daily outcome counts and air pollution in 2000 data sets for each scenario.

These analyses demonstrate the similar impact on power of increasing time-series length versus increasing daily outcome counts, which has not previously been reported.

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Similar(38)

Within the sampling designs considered, the configuration with 50-30-30 μm particle sizes provides the best outcome, counting 20% more BIC ratio and 0.17 MPa less PTS compared with the worst case scenario, also outperforming the best uniform morphology of 70 μm particles.

Compliance to treatment was measured by indirect methods such as the impression of the treating psychiatrist, interviewing patients, therapeutic outcome, counting the number of tablets remaining in a patient's supply and objective criteria such as presence to medical and staff appointments or ending the follow-up.

The robust outcome count methods are simple, transparent, and persuasive, even if not as powerful as modeling or parametric approaches to meta-analysis.

The model handles the outcome count changes in relation to the independent variables (34).

The problem with these types of models is that they assume that the dependent variable is distributed normally, which, in fact, is extremely rare in the daily outcome count variables of morbidity and mortality events (Saez et al. 1999).

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