Sentence examples for for certain outcomes from inspiring English sources

A "review of systematic reviews" of profit versus nonprofit hospitals found that for certain outcomes nonprofit hospitals performed better.

And if you add to overconfidence a desire for certain outcomes — for instance, I think most elite commentators were anti-Trump — it magnifies the problem.

The Rosenbaum bounds tests indicate that the causal effects of child migration are sensitive to hidden bias for certain outcomes, but not for others.

Employers or other stakeholders may have a preference for certain outcomes, without being able to or having a desire to enforce a particular decision.

Currently a clinical trial for a drug involves, typically, a blinded test of a treatment versus a control, which lasts a certain amount of time, and progresses in multiple stages, increasing the number of people each time, and looking for certain outcomes.

For certain outcomes the effects of stall design interacted with difficulty of training (willingness to enter feeder and drink); for the 38% of calves that were scored as moderately difficult to train on a scale of easy, moderate, or difficult, treatment (stall design) differences were detected.

Similarly, some variables made the final prediction model for certain outcome(s) but not for others.

Though this number can be considered fair in other types of research, we found it to be insufficient for this type of setting, especially when creating categories for certain outcome variables and in analyses for associations with clinical characteristics.

The more adroitly we manage to narrow the gap between the one for whom the future is uncertain, and the many for whom certain outcomes are historical- the more reliably we choose our remedies, and the better the outcomes they produce.

In some smoking studies, it was highlighted that for certain health outcomes, the effect of the duration was more important than intensity, 24 while in others, duration was not significant after adjustment for intensity.

In some cases this means that while a covariate dummy may have a positive RRR for a certain outcome, the probability of the outcome for the dummy taking on a value of 1 may actually be lower than that when the dummy is zero.