The LMS Method and Its Extention for Constructing Smoothed Centile Curves of Weight for Age for 5-10 Years Children

S. S. Shinde¹ , S V Kakade²

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.262-275, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i1.262275

Online published on Feb 28, 2019

Copyright © S. S. Shinde, S V Kakade . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Now–a-days, reference centile curves are widely used in medical professions for monitoring growth of an individual child. The requirement of centile curves in spite of simple reference range arises when the response variable strongly dependents on some covariate such as age. So the distribution of study variable changes according age. The LMS method & its extension LMSP method (BCPE distribution) & LMST method (BCT distribution) are popular methods for constructing smoothed centile curves. LMS method deals with skewed and normal peaked data, while LMSP & LMST are flexible methods for skewed & kurtotic data. The LMS method summarizes the changing distribution of study variable by smoothed curves of parameters. That is skewness parameter (L), median (M), and coefficient of variation (S). These smoothed parameters are obtained by method of maximization of penalized likelihood function. The smoothing parameters, their respective smoothed curves and final smoothed centiles can be obtained within a special software GAMLSS. The present study is carried out on weight of 5-10 years English medium school boys from Kolhapur district of Maharashtra. We assumed children going to English medium school are from well-to-do family & are healthy. So the growth curves being developed remains to be standard & may be used as reference growth curves. These centile curves generated by using Box Cox t distribution applying log link function for µ (BCTo) are assessed for goodness of fit.

Key-Words / Index Term :
Hight for age, weight for age, BMI for age, Growth curves for 5-10 year age group

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