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Table 1 Parameter estimates from the simple regression models

From: Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards

   Simple linear regression model in the logit1 scale: logit (PWHO) = a+b*logit (PNCHS)
Algorithm N Intercept a (95% CI) Slope b (95% CI) Correlation coefficient (R2) Mean square error
Underweight 271 -0.177 (-0.231, -0.124)2 0.987 (0.955, 1.019)2 0.931 0.073
Stunting 271 0.216 (0.198, 0.235)2 0.925 (0.908, 0.941)2 0.979 0.012
Wasting 271 0.026 (-0.038, 0.090) 0.928 (0.905, 0.951)2 0.959 0.030
Overweight 256 0.235 (0.117, 0.353)2 0.912 (0.880, 0.944)2 0.925 0.064
  1. 1 logit (p) = log [P/(1-P)], where P is either PWHO or PNCHS, the WHO and NCHS prevalence estimates, respectively.
  2. 2 p-value < 0.05