This article details the LMS method used by the WHO and CDC to calculate child growth percentiles, explaining the mathematical formulas for median (M), coefficient of variation (S), and Box-Cox power (L). It provides TypeScript code for converting measurements to z-scores and then to percentiles, including a standard normal CDF approximation. The post also highlights several edge cases encountered in implementation, such as the precise definition of a month and the interpolation needed for CDC data points that fall between whole months. AI
IMPACT Provides a detailed technical explanation of a statistical method used in health data, relevant for developers building AI tools in healthcare or data analysis.
RANK_REASON The item describes a specific mathematical method and its implementation for calculating growth percentiles, including code and edge cases, which falls under research and technical explanation. [lever_c_demoted from research: ic=1 ai=0.4]
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