Sentence examples for a more powerful estimate from inspiring English sources

If we do the pooling successfully, however, then a more powerful estimate of the true "effect size" – a measure of the strength of a relationship between two things being studied – can be calculated.

Such an analysis would also allow estimation of treatment effects in particular subgroups of patients on a range of end points of interest and would allow a more powerful estimate of the effects of these treatments on a composite end point of several clinical outcomes than would be available from any individual trial.

The more powerful estimate of effect size of treatment gained from the combined trial results was used to extend and confirm the individual trial outcomes.

In a comparative analysis, several datasets gathered to test related hypotheses are combined to obtain more powerful estimates for a common hypothesis.

Armed with local knowledge of where farms, paved surfaces, and septic fields may be contributing to toxic runoff, she says, "people will be able to make more powerful estimates of where risk of contamination might be higher".

Pooling sequences from multiple mitochondrial protein-coding genes should result in statistically more powerful estimates of relationships among species that diverged sufficiently recently that most nucleotide substitutions are synonymous.

5) Melting ice is a more powerful feedback than scientists previously estimated, and will contribute to further warming as the Earth's northern reaches become less reflective.

And while the plant was constructed to withstand a magnitude-6.7 tremor, Mr. Hatz worries that the region may once have seen a more powerful earthquake: Swiss and German experts estimate that the 1356 Basel earthquake was of a magnitude of 6.9.

The proposed 95% CI for W estimates allows a more powerful analysis of the correspondence between the classifications of typing methods.

To quantify the association between these variables and breastfeeding cessation Cox proportional hazards model was used because it is a more powerful statistical technique than single-point prevalence estimates [ 27].

Even in the presence of measurement error or other within-patient variations, the ANCOVA approach based on the observed data provides an unbiased estimate, and better precision and a more powerful test than the ANOVA.