# Clustering Approach 28 : 16p gain mutation analysis
Index	Clinical feature name	Test type	P value	Comment
1	Time to Death	logrank test	0.610669477445916	Range of duration = 0.07 to 111.02, nDeath = 158, nCensor = 332
2	AGE	t-test	0.0654361369186341	Range of values = 26 to 90, Mean = 60.5589, StdDev = 12.1997, nMissing = 1
3	GENDER	Fisher's exact test	0.212019555640022	nTypes = 2 (FEMALE/MALE), nPatients = 171/322
4	KARNOFSKY.PERFORMANCE.SCORE	t-test	0.39982061834575	Range of values = 0 to 100, Mean = 88.3333, StdDev = 22.9907, nMissing = 457
5	PATHOLOGY.T	Chi-square test	0.751273177758341	nTypes = 4 (T1/T2/T3/T4), nPatients = 242/64/176/11
6	PATHOLOGY.N	Fisher's exact test	0.0836569484825005	nTypes = 2 (0/1), nPatients = 228/18, nMissing = 247
7	PATHOLOGICSPREAD(M)	Fisher's exact test	0.713351675711384	nTypes = 2 (M0/M1), nPatients = 417/76
8	TUMOR.STAGE	Chi-square test	0.710197285465607	nTypes = 4 (I/II/III/IV), nPatients = 238/52/123/80