Sentence examples for calculation across all from inspiring English sources

For each run, we used either a calculation across all loci, or excluding OHW loci (Table 1).

18 The risk-adjusted outcomes were calculated using the predicted probabilities of outcomes for each patient with the distribution of covariates in our sample and the prefecture indicator set to that of each prefecture, and repeating the calculation across all 47 prefectures (also known as model-adjusted means, predictive margins or g-formula).

These idiosyncratic cases tend to even out if we perform this calculation across all the states.

If we perform this calculation across all the states with a significant amount of recent polling, we come to a result of Obama plus 2.9 points.

Simultaneous statistical calculations across all five libraries identified 920 low temperature responsive genes, only 24% of which overlapped with previous global expression analysis performed using microarrays, although similar functional categories were affected.

For LD calculations within heterotic groups, all markers with a minor allele frequency (MAF) > 0.05 within the corresponding group and for LD calculation across groups all markers with a MAF > 0.05 within both heterotic groups were included.

Euclidean Distance calculated as Σ ΔCT i - ΔCT j 2 where, for a sample pair, the calculation is done across all assays for sample i and sample j while for an assay pair, the calculation is done across all samples for assay i and assay j.

The analytic process was comprised of four steps: (1) 1,000 simulations of a missing-data generating process, (2) calculation of PAM scores for each simulation, (3) calculation of summary statistics for each of the 1,138 surveys used in the simulations, and (4) calculation of summary statistics across all simulations for all surveys.

The calculation of Akaike weights across all models allows the researcher to evaluate the relative importance of many potential predictor variables within these models (Burnham and Anderson 2002).

The propensity score will be estimated using a logistic regression model for treatment group using the matching variables included in the calculation of Mahalanobis distances across all centers, plus a categorical variable for center.

This manipulation resulted in n - 1 maps, each representing the predicted distribution of the disease without consideration of the information in a particular parameter; effects of these manipulations were summarized by a calculation of percent difference (across all pixels in the map) from the map produced using all variables.