An application of bootstrap resampling method to obtain confidence interval for percentile fatness cutoff points in childhood and adolescence overweight diagnoses.

Clicks: 380
ID: 3228
2005
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Ranked #3 of 40 articles by views in international journal of obesity (2005)

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Abstract
To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and obesity diagnosis in children and adolescents.A tutorial for the nonparametric bootstrap with bias accelerating correction is presented. A classical method, the Binomial interpretation, is used as comparing criterion.A case study comprising 418 randomly selected subjects from a private secondary school (age: 10-17 y, boys: 52%).Body fat percentage (by), age (y) and Tanner criteria.The empirical distributions presented skewness suggesting that the CIs should not be symmetric. CIs obtained by the proposed approach were more realistic than the classical ones.We propose a simple and efficient way to obtain the interval estimates and the distribution properties of cutoff points for overweight and obese classification using a sample-based method that allows the comparison of cutoffs among many subpopulations.
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colugnati2005aninternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Colugnati, F A B;Louzada-Neto, F;Taddei, J A de Aguiar Carrazedo;
Journal international journal of obesity (2005)
Year 2005
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