Can composite performance measures predict survival of patients with colorectal cancer?

doi:10.3748/wjg.v20.i42.15805

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World Journal of Gastroenterology

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1007-9327

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World J Gastroenterol. Nov 14, 2014; 20(42): 15805-15814
Published online Nov 14, 2014. doi: 10.3748/wjg.v20.i42.15805

Table 6 Model fit analysis of Akaike’s information criterion values calculated by different methods

Cohort	Survival	Method
Cohort	Survival	All-or-none	70% standard	Equal weight	AHP	PCA
1	OS	12.819	8.544	6.002	5.895	0
	DSS	8.823	2.412	3.047	1.691	0
	DFS	9.406	6.023	4.921	3.434	0
2	OS	NA	14.655	11.914	11.205	0
	DSS	NA	4.593	1.363	0	2.520
	DFS	NA	2.385	0.246	0	1.605
3	OS	0.843	0.483	0	0.105	0.750
	DSS	1.053	0.380	0	0.421	1.507
	DFS	0.617	0.543	0	0.177	0.659

Cohort 1: Colon cancer patients stage < III; Cohort 2: Colon cancer patients stage III; Cohort 3: Rectal cancer patients. Values represent the ∆AIC, where the best model is defined as AIC = 0. AHP: Analytic hierarchy process; AIC: Akaike’s information criterion; DFS: Disease-free survival; DSS: Disease-specific survival; OS: Overall survival; PCA: Principal component analysis.

Citation: Chung KP, Chen LJ, Chang YJ, Chang YJ. Can composite performance measures predict survival of patients with colorectal cancer? World J Gastroenterol 2014; 20(42): 15805-15814
URL: https://www.wjgnet.com/1007-9327/full/v20/i42/15805.htm
DOI: https://dx.doi.org/10.3748/wjg.v20.i42.15805