Sentence examples for multiple outcomes such from inspiring English sources

For tests with multiple outcomes, such as a detection system that identifies multiple agents, investigators can characterize the performance of the test with likelihood ratios (40).

In addition, we have shown that hyponatremia exerts a negative impact on multiple outcomes such as the need for MV and ICU care, as well as the duration of ICU stay.

A multivariate one-sided (or one-directional) test of stochastic ordering will be conducted to compare differences between groups for multiple outcomes simultaneously, such as A1C, weight, and hypoglycemia.

Using multiple outcome methods, such as blind clinician raters, would strengthen future research.

Their activation leads to choices between multiple qualitatively different outcomes, such as stop, go, turn, exit, etc., thereby requiring intercalation of multiple signalling systems to gate the decision-making process at the level of the growth cone.

Math anxiety is correlated with multiple negative student outcomes such as poor performance on standardized tests, avoidance of challenging mathematical tasks, and the development of negative beliefs about math abilities [4, 5].

For an average follow-up time of 20 years, output from the model was associated with multiple outcomes among survivors, such as tests of cognitive function, geriatric depression, number of daily living impairments and grip strength (P < 0.03).

Human and animal experiments show that maternal zinc deficiency may cause multiple adverse pregnancy outcomes such as intrauterine growth retardation, teratogenesis, or embryonic or fetal death [ 2, 37] The majority of women surveyed had dietary phytate: zinc molar ratios above the critical level and higher than overall national mean intake in the 2002 NNHS [ 20].

Multinomial Logit Model (MNLM), which simultaneously estimates binary logits for all possible comparisons among the outcome categories, is well suited to examine such multiple outcomes [ 28].

Cardiovascular risk calculators based on algorithms relating multiple risk factors to outcomes such as heart attack, stroke and death may be used to help patients weigh up the advantages and disadvantages of risk modification programs.

WDHR data are well suited for studying predictors for multiple outcomes following cardiac intervention, such as patient characteristics, comorbidity, medication use, and intra-interventional differences (eg, different types of stents or anesthesia).