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Kappa and correlation results were higher after adjusting DL data than before (P < 0.001), suggesting that adjusting data in this fashion improves agreement between direct observation and DL data.
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The bureau's acting director, William G. Barron Jr., has said the agency will recommend by this fall whether to use statistically adjusted data in allocating federal aid based on population.
The Census Bureau's acting director said today that the agency would recommend by this fall whether to use statistically adjusted data in allocating federal aid that is based on population.
This has several important and non trivial implications for empirical studies that employ seasonally adjusted data in unit root testing and VAR model fitting.
Workload and job stress should be assessed by using list size adjusted data in order to realise better quality of care.
However, all of the between-group MFT effect sizes were small and not statistically significant for the crude and adjusted data in both genders.
Compared to the USA, Canada has a lower rate of obesity, but to our knowledge there has never been a comprehensive comparison of the determinants of blood pressure using appropriately adjusted data in these countries.
Although most of the studies did use adjusted data in an attempt to control for confounding influences, not all controlled for the same potential confounding variables (see supplementary table).
Finally, some normalization methods fit the location and the shape of the original distribution (e.g. quantile normalization), or adjust data in a intensity-dependent way (e.g. variance stabilization, LOESS).
Luo and colleagues [14] demonstrated that Ratio_G outperforms other methods in adjusting data for use in a predictive model, and reasoned that it is because non-ratio-based methods can confound batch and biological effects when one batch has a reverse negative/positive ratio compared to another batch.
These tricks include using two layers of cache, converting the disk drive's random access to faster sequential one, and automatically adjusting data management decisions in real-time based on the customer's data access patterns.
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