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. 2022 May 10;24(1):140–160. doi: 10.1093/biostatistics/kxac015

Table 1.

Average accuracy, sensitivity, and specificity for 200 iterations in the simulation at an increasing shifting variation from Inline graphic ppm to Inline graphic ppm across the proposed method, Lasso, elastic net, and adaptive Lasso. Corresponding standard deviations are recorded in parentheses

  Metrics Inline graphic 0.01ppm Inline graphic 0.02ppm Inline graphic 0.03ppm Inline graphic 0.04ppm
  Accuracy 0.999 (0.002) 0.998 (0.003) 0.997 (0.005) 0.995 (0.006)
Proposed method Sensitivity 0.980 (0.119) 0.990 (0.081) 0.978 (0.116) 0.950 (0.208)
  Specificity 0.999 (0.002) 0.998 (0.003) 0.997 (0.004) 0.996 (0.005)
  Accuracy 0.988 (0.029) 0.973 (0.040) 0.956 (0.062) 0.949 (0.065)
Lasso Sensitivity 0.748 (0.328) 0.758 (0.263) 0.760 (0.209) 0.697 (0.270)
  Specificity 0.991 (0.030) 0.976 (0.041) 0.960 (0.063) 0.954 (0.067)
  Accuracy 0.941 (0.089) 0.936 (0.064) 0.923 (0.061) 0.898 (0.090)
Elastic net Sensitivity 0.992 (0.052) 0.915 (0.146) 0.843 (0.167) 0.827 (0.167)
  Specificity 0.940 (0.091) 0.936 (0.063) 0.924 (0.062) 0.899 (0.092)
Adaptive Lasso Accuracy 0.984 (0.043) 0.964 (0.056) 0.956 (0.059) 0.945 (0.069)
  Sensitivity 0.812 (0.242) 0.793 (0.210) 0.765 (0.188) 0.757 (0.188)
  Specificity 0.986 (0.044) 0.967 (0.057) 0.959 (0.061) 0.947 (0.070)