Application of nonparametric quantile regression to body mass index percentile curves from survey data
نویسندگان
چکیده
منابع مشابه
Growth Charts of Body Mass Index (BMI) With Quantile Regression
Growth charts of body mass index (BMI) are constructed from the recent four-year national crosssectional survey data (1999−2002) using parametric quantile regression methods, which are implemented with a newly developed SAS procedure (http://www.sas.com/statistics) and SAS macros.
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Background: The children’s body composition status is an important indicator of health condition evaluated through their body mass index (BMI). We aimed to provide standardized percentile curves of BMI in a population of Iranian children and adolescents. We assessed the nationally representative of sample populations from Tehran. Materials and Methods: A total sample of 14,865 children aged 7-1...
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OBJECTIVE Growth charts are widely used to assess children's growth status and can provide a trajectory of growth during early important months of life. Racial differences necessitate using local growth charts. This study aimed to provide standardized growth curves of body mass index (BMI) for children living in northeast Iran. METHODS A total of 23730 apparently healthy boys and girls aged 2...
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We consider the problem of nonparametric quantile regression for twice censored data. Two new estimates are presented, which are constructed by applying concepts of monotone rearrangements to estimates of the conditional distribution function. The proposed methods avoid the problem of crossing quantile curves. Weak uniform consistency and weak convergence is established for both estimates and t...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2009
ISSN: 0277-6715
DOI: 10.1002/sim.3810