Sentence examples for adjust data from from inspiring English sources

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In general, qualitative description of generalisability or quantitative extrapolation (modeling) should be used to transform efficacy data, as far as possible, to effectiveness data, i.e. to adjust data from controlled trials to what would be expected in clinical practice.

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Only seven studies reported data for an adjusted meta-analysis (Additional file 2: Table S1); adjusted data from these studies demonstrated an increased risk of mortality (adjusted RR 1.24, 95% CI 0.98 – 1.57, I 2 57.5%) that did not reach statistical significance probably due to the small sample size.

Seasonally adjusted data from the British Bankers Associationn shows that 36,997 loans were approved for house purchases during the month, the lowest figure since January 2015 and 21% down on August 2015's total.

Credit-card charge-offs in the fourth quarter were 4.86% in seasonably adjusted data from the Federal Reserve.

In May, 7.4 % of high school graduates were unemployed, while just 3.8% of university graduates were without a job, according to seasonally adjusted data from the US Bureau of Labor Statistics (BLS).

Results from direct observations were then compared with raw and adjusted data from DL using Cohen's Kappa and Spearman correlations, and an index of concordance for standing, lying and both sets of behaviour was calculated.

MR is the review statistician; she adjusted data from cluster trials and prepared all of the meta-analyses.

For predictions between environments, adjusted data from two environments were used to train predictions in the remaining three environments.

The secondary objective was to compare these results with data from age and gender adjusted data from the general population (Gen-Pop).

Adjusted data from 16 studies (2493 patients) demonstrated increased mortality with IAT (adjusted summary OR 3.30, 95%% CI 2.42 4.49, I 54 %) or decreased mortality in 6 studies (1409 patients) with AAT (adjusted summary OR 0.43, 95%% CI 0.23 0.83, I 75%%).

The long-dashed line represents expected values based on normative age and sex adjusted data from the general US population, except for HAQ where normative data are not available.

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