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Table 5 Estimated power of LMMs and LR-SAM methods for GS 1. Bolded number indicates power of methods were more than 0.8

From: Analysis of significant protein abundance from multiple reaction-monitoring data

Interaction scenario True subject type True run type Sample size Model
LMM LR-SAM
Best (FF) (FR) (RF) (RR) L W W 1 W S S VC
IS1 Fixed Fixed 20 0.296 0.301 0.459 0.077 0.044 0.417 0 0.01 0.042 0.258
50 0.627 0.63 0.85 0.333 0.216 0.798 0.548 0.14 0.291 0.756
100 0.916 0.917 0.994 0.709 0.632 0.996 0.984 0.424 0.694 0.995
Random 20 0.302 0.303 0.39 0.085 0.093 0.42 0 0.007 0.034 0.253
50 0.642 0.646 0.715 0.321 0.336 0.805 0.534 0.154 0.288 0.775
100 0.921 0.923 0.958 0.681 0.753 0.99 0.981 0.405 0.668 0.99
Random Fixed 20 0.351 0.35 0.472 0.152 0.159 0.472 0.001 0.016 0.095 0.304
50 0.626 0.628 0.782 0.384 0.403 0.825 0.574 0.218 0.359 0.782
100 0.85 0.851 0.928 0.659 0.705 0.985 0.976 0.457 0.652 0.983
Random 20 0.379 0.381 0.43 0.176 0.186 0.488 0 0.024 0.106 0.348
50 0.613 0.615 0.674 0.366 0.389 0.812 0.552 0.19 0.342 0.775
100 0.834 0.835 0.873 0.655 0.679 0.989 0.981 0.447 0.639 0.98
IS2 Fixed Fixed 20 0.328 0.331 0.482 0.083 0.039 0.662 0 0.005 0.042 0.503
50 0.619 0.62 0.865 0.298 0.199 0.978 0.87 0.095 0.268 0.966
100 0.889 0.889 0.996 0.696 0.621 1 1 0.279 0.676 1
Random 20 0.288 0.29 0.382 0.067 0.074 0.649 0 0.006 0.023 0.466
50 0.648 0.652 0.735 0.339 0.363 0.979 0.888 0.112 0.305 0.97
100 0.921 0.921 0.96 0.703 0.748 1 1 0.288 0.685 1
Random Fixed 20 0.36 0.363 0.493 0.148 0.152 0.683 0.001 0.009 0.093 0.524
50 0.599 0.602 0.76 0.363 0.377 0.982 0.878 0.137 0.334 0.961
100 0.861 0.861 0.93 0.674 0.715 1 1 0.321 0.66 1
Random 20 0.384 0.386 0.462 0.175 0.191 0.682 0 0.007 0.113 0.523
50 0.583 0.586 0.637 0.357 0.384 0.968 0.869 0.123 0.323 0.952
100 0.836 0.836 0.874 0.655 0.698 1 1 0.33 0.644 1