2007
DOI: 10.1097/01.nnr.0000289497.91918.94
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Intraclass Correlations Among Physiologic Measures in Children and Adolescents

Abstract: The magnitude of the ICC varied by the outcome of interest, and factors such as age, gender, and ethnicity also influenced the magnitude of the ICC. The presence of ICCs should be assumed when using cluster designs, and ICCs should be considered when conducting sample size calculations for such studies.

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Cited by 17 publications
(14 citation statements)
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“…The sample size calculation was based on the primary end point of 12 months and does not assume adequate statistical power for the 24 month assessments. The between group difference of 1 kgm -2 was based on the results from a similar trial [25], using a BMI standard deviation of 1.5 kgm -2 [26] and an intraclass correlation coefficient (ICC) of.01 [27]. Variance estimates were adjusted for clustering as proposed by Murray et al [28].…”
Section: Methodsmentioning
confidence: 99%
“…The sample size calculation was based on the primary end point of 12 months and does not assume adequate statistical power for the 24 month assessments. The between group difference of 1 kgm -2 was based on the results from a similar trial [25], using a BMI standard deviation of 1.5 kgm -2 [26] and an intraclass correlation coefficient (ICC) of.01 [27]. Variance estimates were adjusted for clustering as proposed by Murray et al [28].…”
Section: Methodsmentioning
confidence: 99%
“…Clustered cross-sectional studies have become increasingly popular in epidemiology, especially when the use of simple random sample designs is not feasible. In such case, the analysis must take into account the degree of similarity between subjects within clusters [ 19 ]. In the present paper we have evaluated methods for estimating adjusted PR in clustered cross-sectional studies using random-effects models.…”
Section: Introductionmentioning
confidence: 99%
“…Power calculations showed a total number of children of 2,778 children in 20 schools are needed to detect a difference of 0.45 kg/m 2 between intervention and control group, assuming a standard deviation of 3.0 kg/m 2 for BMI and an intraclass correlation of 0.01 [ 55 ], with a power of 0.80 en alpha 0.05 (one-sided) and accounting for 10% loss to follow up.…”
Section: Methodsmentioning
confidence: 99%