A virtual pediatric population (birth to 20 years) simulated from the US Centers for Disease Control and Prevention (CDC) growth charts. Used by the app to sample age, weight and height when the "CDC" database is selected for variability simulations.
Format
A data frame with 97,177 rows and 6 columns:
- SEX
Sex: 0 = male, 1 = female.
- AGEMO
Age (months).
- AGEYR
Age (years).
- WT
Body weight (kg).
- HT
Length/stature (cm).
- BMI
Body mass index (kg/m\(^2\)).
Source
CDC growth charts, percentile data files with LMS values: https://www.cdc.gov/growthcharts/percentile_data_files.htm.
Details
Body weight and stature were simulated from the published LMS parameters
(Box-Cox power, median and coefficient of variation) of the weight-for-age
and stature-for-age charts for each sex and month of age, by drawing
standard normal Z-scores and applying \(X = M (1 + L S Z)^{1/L}\). Rows
with implausible BMI (outside 10 to 50 kg/m\(^2\)) were removed. See
data-raw/databases.R in the
GitHub repository
for the code.