Table 2.

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