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Some studies correct for misreporting by using fitted values based on anthropometric data [ 9, 54– 54].
Some studies correct for potential bias (under- or over- reporting) in data of this kind using correlations between self-reported weight and height and objectively observed values from NHANES.
According to many studies, correct use of an FWW is required to reduce the risk of falls and to maximize its function.
Overall, in the twenty self-labeled pair matched case-control studies, correct calculation and reporting of CI was done in 9/20 (45%), and a correct CI was computed or was directly computable in 16/20 (80%).
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Similarly, Taner [[36]] and Martins' [[39]] studies corrected the malocclusion with extraction of four first premolars and using headgear and/or class II elastics.
To provide nomenclature that is useful for epidemiologic studies corrected "genus group" designations based on previous naming and phylogenetic reconstruction were provided.
Studies correcting medication errors may improve patient safety.
Different studies corrected in their analyses for different potential confounders, ranging from 0 to 16 total confounders (table 1).
All studies adjusted for age and mean systolic blood pressure, and all but 1 adjusted for sex, but only 3 of 6 studies corrected for dipping status.
However, few of these studies corrected findings for between-subjects scaling factors which can potentially generate misleading interpretations (Naylor et al. 2008).
Two of these studies corrected the observed phenotype by targeted degradation of the foci using antisense oligonucleotides (Donnelly et al., 2013; Sareen et al., 2013).
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CEO of Professional Science Editing for Scientists @ prosciediting.com