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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