Sentence examples for that does not adjust from inspiring English sources

A dollar ranking that does not adjust for inflation is just not useful.

The results presented in the tables within this paper are from a model that does not adjust for serial autocorrelation.

In the face of parental antagonism, an allele that adjusts its expression level in cis to bring about that parental origin's optimum is selectively favored over an alternative allele that does not adjust its expression (Haig and Westoby, 1989).

This approach that does not adjust for measurement error and yet is free from any model assumptions is a location-specific arithmetic average, a direct measure of latent quantity of interest.

In essence, a method (PBAT) which examines transmission to affected relatives but breaks pedigrees up for computational reasons is significant, while a method (GDT) that examines discordant relative pairs that does not adjust pedigree structure is non-significant.

Although the anticipated inflation rate is falling and the "risk premium" — the difference between a bond that doesn't adjust for inflation and one that does, in the same maturity — has scarcely changed, conservatives continue to warn that inflation is right around the corner, especially if the Fed were to adopt a new operating procedure called nominal gross domestic product targeting.

Second, leptin levels were positively associated with incident CHF and CVD in multivariable-adjusted models that did not adjust for BMI.

For all trials that did not adjust for clustering, we made approximate adjustments for clustering using estimates of the intra-cluster correlation coefficient (ICC) from other trials that did adjust for clustering and reported this statistic.

We classified this trial as not having adjusted for clustering For all trials that did not adjust for clustering, we attempted to make an approximate adjustment using estimates of the ICC from one of the trials that did adjust for clustering and reported this statistic.

To make the adjustment, we estimated a treatment effect that did not adjust for clustering and then multiplied the standard errors of the estimate by the square root of the design effect.

Trials that adjusted for all balancing factors were more likely to find a statistically significant result (n=39/50, 78%) compared with trials that did not adjust for any balancing factors (n=42/74, 57%; odds ratio (adjusted v unadjusted) 2.70, P=0.02), indicating that trials could be losing power through not adjusting.