Table 2 |
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|
Model selection frequency for the different measures of goodness-of-fit. |
||||||
|
Model |
R2adj |
AICc |
BIC |
resVar |
red. Chi2 |
|
|
|
||||||
|
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 |
|
|
|
||||||
|
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. |
||||||
|
Spiess and Neumeyer BMC Pharmacology 2010 10:6 doi:10.1186/1471-2210-10-6 |
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