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Table 2 Model selection frequency for the different measures of goodness-of-fit.

From: An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach

 

Model

R 2 adj

AICc

BIC

resVar

red. Chi 2

s.d. = 0.02

L5

228

40

41

231

227

 

L4

341

170

154

347

261

 

L3

867

1648

1660

857

567

 

B5

305

90

91

304

689

 

B4

     
 

B3

     
 

W4

     
 

W3

     
 

baro5

259

52

54

261

256

L3 [%]

 

43.4

82.4

83.0

42.9

28.4

s.d. = 0.1

L5

124

10

10

122

118

 

L4

349

161

145

365

288

 

L3

958

1668

1684

939

576

 

B5

279

30

30

283

308

 

B4

35

53

51

34

361

 

B3

5

43

44

6

144

 

W4

     
 

W3

     
 

baro5

250

35

36

251

205

L3 [%]

 

47.9

83.4

84.2

47.0

28.8

s.d. = 0.4

L5

42

5

6

43

69

 

L4

234

72

65

243

187

 

L3

698

982

989

667

374

 

B5

55

3

3

61

67

 

B4

257

81

76

194

208

 

B3

303

575

582

406

335

 

W4

51

46

43

89

305

 

W3

221

226

226

145

357

 

baro5

139

10

10

152

98

L3 [%]

 

34.9

49.1

49.5

33.4

18.7

  1. Same setup as in Table 1 but summarizing the model selection for each iteration and each measure by selection frequency. A percentage of selecting the 'true' model L3 is given as a summary.