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Table 2 Regression parameters and predictive performance of the Mercy method (overall and by rater) and the other comparator weight estimation methods

From: Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali

Parameter Mercy APLS ARC Broselow Nelson
  Overall Rater 1 Rater 2 Rater 3 Rater 4     
n= 473 102 200 106 65 345 446 365 369
RE (kg) 0.06 ± 2.58 0.38 ± 1.69 -0.85 ± 2.59 1.80 ± 2.15 -0.46 ± 2.86 4.36 ± 5.27 1.61 ± 5.48 1.50 ± 2.00 4.10 ± 5.30
[-12.8,9.7] [-3.0,8.6] [-9.0,9.3] [-3.6,9.7] [-12.8,5.7] [-26.8,17.4] [-30.2,22.4] [-6.4,8.9] [-24.8,18.7]
PE (%) 1.6 ± 9.3 1.8 ± 7.9 -1.1 ± 9.2 7.3 ± 8.2 0.4 ± 9.2 23.6 ± 21.4 9.6 ± 18.0 8.2 ± 10.4 19.8 ± 21.6
[-22.2,34.3] [-19.2,22.0] [-19.7,34.3] [-7.7,30.0] [-22.2,26.1] [-38.4,89.9] [-49.9,89.0] [-28.6,44.3] [-37.4,88.5]
RMSE (kg) 2.58 1.73 2.72 2.80 2.88 7.07 5.71 2.49 6.70
ICC 0.992 0.993 0.991 0.989 0.993 0.865 0.956 0.976 0.891
Agreement within:          
  10% 71.5% 77.5% 71.5% 67.0% 69.2% 15.0% 40.8% 41.2% 23.5%
  20% 96.7 98.0 97.5 93.4 96.9 28.1 68.7 67.4 40.4
  30% 99.9 100 99.5 100 100 39.3 82.2 75.1 54.6
  1. All data are presented as mean with (standard deviation) and/or [range] unless otherwise indicated.
  2. n-number of subjects, RE- residual error, PE- percentage error, RMSE- root mean square error, LOA- limits of agreement, ICC- intraclass correlation coefficient.