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Standardized mean difference (SMD) was used as a measure of effect size.
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We calculated relative risks and standardized mean differences (SMD) when possible.
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A lot of what they say is the SMD.
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The MD had a greater statistical power than the SMD but did not result in material differences.
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Our results indicate that a new candidate gene for the reported form of SMD should be sought.
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Standardized mean differences (SMD) were calculated for change in weight from baseline between intervention and control groups.
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Analyses: Linear regression models were used to assess SMDs in child development by parental and child factors within each study.
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A group of patients with atrophic SMD and a group with exudative SMD were compared with an age-matched reference group.
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Based upon sensitivity and specificity analysis, model comprising of MPS, NM, NC and SMD was found to be most accurate.
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We used generalized linear models to assess standardized mean differences (SMDs) in general intelligence, executive function, and mental health scores.
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The severe scoliosis in most individuals and rare developmental coxa vara distinguish individuals with FN1 mutations from those with classical Sutcliffe-type SMD.
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This gene is probably causative in the Jansen type of SMD, which shares some phenotypic features with the siblings whom we documented.
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When all these or less heterogeneous subsets of the reviews were examined, the SMD always showed a greater percentage agreement than the MD.
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Standardized mean difference (SMD) and 95% confidence interval (CI) of horizontal and vertical movements of teeth from baseline were used for comparison.
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Conclusion: These results suggest that BD, SMD, and normal youths do not differ in their ability to select between rewards and punishments of different value.
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A large increase in HR acceleration (SMD = 1.34) was found in the single study assessing this parameter.