|
Statistical results for hypertabastic proportional hazards and four comparison models for multiple myeloma data |
||||||
| -2Log likelihood |
AIC |
Estimate |
SE |
Chi-square |
p-value |
|
|
|
||||||
| Hypertabastic |
162.33 |
170.33 |
||||
| α |
0.0853 |
0.0438 |
3.79 |
0.0559 |
||
| β |
0.4349 |
0.0712 |
37.34 |
<0.0001 |
||
| Log(BUN) |
1.8986 |
0.5697 |
11.11 |
0.0014 |
||
| Hemogolobin |
-0.0974 |
0.0539 |
3.27 |
0.0752 |
||
| Weibull |
162.66 |
170.66 |
||||
| α |
0.0056 |
0.0067 |
0.70 |
0.4041 |
||
| β |
1.1403 |
0.1229 |
86.08 |
<0.0001 |
||
| Log(BUN) |
1.7451 |
0.5999 |
8.46 |
0.0049 |
||
| Hemogolobin |
-0.1112 |
0.0561 |
3.93 |
0.0517 |
||
| Log-normal |
162.61 |
170.61 |
||||
| α |
0.0078 |
0.0095 |
0.67 |
0.4145 |
||
| β |
1.6153 |
0.3089 |
27.35 |
<0.0001 |
||
| Log(BUN) |
1.8935 |
0.5703 |
11.02 |
0.0015 |
||
| Hemogolobin |
-0.0929 |
0.0536 |
3.01 |
0.0876 |
||
| Log-logistic |
163.10 |
171.10 |
||||
| α |
-5.6519 |
0.9369 |
36.39 |
<0.0001 |
||
| β |
1.2401 |
0.1452 |
72.96 |
<0.0001 |
||
| Log(BUN) |
1.8651 |
0.5464 |
11.65 |
0.0011 |
||
| Hemogolobin |
-0.0997 |
0.0526 |
3.58 |
0.0628 |
||
| Cox |
296.08 |
302.08 |
||||
| Log(BUN) |
1.6744 |
0.6121 |
7.48 |
0.0062 |
||
| Hemogolobin |
-0.1189 |
0.0575 |
4.28 |
0.0385 |
||
Tabatabai et al. Theoretical Biology and Medical Modelling 2007 4:40 doi:10.1186/1742-4682-4-40 |
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