Sentence examples for interpret the strength from inspiring English sources
We used regression slopes and log-odds ratios to interpret the strength and direction of individual predictors in best-fit models.
We used QAICc weights to help interpret the strength of evidence for each model.
The Bayes factor is also calculated for each of the 30 centers to quantify and interpret the strength of evidence.
Causal inference criteria provide a framework useful to interpret the strength and limitations of the evidence regarding an association between BCd and/or UCd with BP.
They interpret the strength of selection on a particular subset of ORFs as being representative of, or proportional to, the strength of selection acting on all ORFs in the genome.
To attempt to offset this bias, we utilized review criteria to help the authors' interpret the strength of the study in terms of the generalizability and implications for CSHCN.
Indeed, possibly the most intellectually challenging task – of putting together research findings from diverse perspectives and then deciding what should be done as a result of them – is left to policy makers and practitioners, who often are poorly prepared to interpret the strengths and weaknesses of different (and sometimes contradictory) research.
A built-in sensor then interprets the strength of the charge generated to determine a person's overall glucose levels.
During this study, we noted that instead of interpreting the strength of correlation as an evaluation indicator, it would be better to consider it as different characteristics that depend on the applications.
In addition, power equation model possessed strong potential for the early prediction of 28-day strength propertiesand justifies against the statistical point of view for interpreting the strength incremental factor variation profile with accelerated curing ages.
Patients in clinical trials in FSHD may have better outcomes than those in natural history studies, regardless of treatment assignment, emphasizing the importance of placebo groups and the need for caution when interpreting the strength results of controlled and uncontrolled trials.
