# Clustering Approach 3 : 2q gain mutation analysis
Index	Clinical feature name	Test type	P value	Comment
1	Time to Death	logrank test	0.34955791098232	Range of duration = 0.03 to 182.73, nDeath = 14, nCensor = 82
2	AGE	t-test	0.859059335472049	Range of values = 28 to 83, Mean = 59.69, StdDev = 12.4476, nMissing = 3
3	GENDER	Fisher's exact test	0.75138540246663	nTypes = 2 (FEMALE/MALE), nPatients = 33/70
4	KARNOFSKY.PERFORMANCE.SCORE	t-test	0.499711383656672	Range of values = 0 to 100, Mean = 87.619, StdDev = 23.8547, nMissing = 82
5	PATHOLOGY.T	Chi-square test	0.948151636690376	nTypes = 3 (T1/T2/T3+T4), nPatients = 58/13/32
6	PATHOLOGY.N	Chi-square test	0.0575165918907013	nTypes = 3 (N0/N1/N2), nPatients = 20/11/4, nMissing = 68
7	PATHOLOGICSPREAD(M)	Chi-square test	0.069790191834265	nTypes = 3 (M0/M1/MX), nPatients = 54/5/35, nMissing = 9
8	TUMOR.STAGE	Chi-square test	0.0102811821982568	nTypes = 4 (I/II/III/IV), nPatients = 53/7/23/9, nMissing = 11