# Clustering Approach 3 : RPPA_CNMF
Index	Clinical feature name	Test type	P value	Comment
1	Time to Death	logrank test	0.552249271922114	Range of duration = 0.13 to 71.74, nDeath = 71, nCensor = 52
2	YEARS_TO_BIRTH	Kruskal-Wallis (anova)	0.27810263229229	Range of values = 35 to 88, Mean = 65.3415, StdDev = 11.4833
3	PATHOLOGIC_STAGE	Fisher's exact test	0.310916890831092	nTypes = 6 (STAGE IA/STAGE IB/STAGE IIA/STAGE IIB/STAGE III/STAGE IV), nPatients = 5/8/19/83/5/2, nMissing = 1
4	PATHOLOGY_T_STAGE	Fisher's exact test	0.257447425525745	nTypes = 4 (T1/T2/T3/T4), nPatients = 6/11/101/4, nMissing = 1
5	PATHOLOGY_N_STAGE	Fisher's exact test	0.260757392426076	nTypes = 2 (0/1), nPatients = 32/90, nMissing = 1
6	PATHOLOGY_M_STAGE	Fisher's exact test	0.357876421235788	nTypes = 2 (0/1), nPatients = 60/2, nMissing = 61
7	GENDER	Fisher's exact test	0.004339956600434	nTypes = 2 (FEMALE/MALE), nPatients = 57/66
8	RADIATION_THERAPY	Fisher's exact test	0.106208937910621	nTypes = 2 (NO/YES), nPatients = 85/29, nMissing = 9
9	HISTOLOGICAL_TYPE	Fisher's exact test	0.1689983100169	nTypes = 3 (PANCREAS-ADENOCARCINOMA DUCTAL TYPE/PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE/PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA), nPatients = 108/12/2, nMissing = 1
10	NUMBER_PACK_YEARS_SMOKED	Kruskal-Wallis (anova)	0.290973429954678	Range of values = 0.3 to 60, Mean = 26.0115, StdDev = 16.6561, nMissing = 84
11	YEAR_OF_TOBACCO_SMOKING_ONSET	Kruskal-Wallis (anova)	0.146955157593726	Range of values = 1948 to 1993, Mean = 1970.88, StdDev = 13.3917, nMissing = 91
12	RESIDUAL_TUMOR	Fisher's exact test	0.949180508194918	nTypes = 4 (R0/R1/R2/RX), nPatients = 72/39/2/2, nMissing = 8
13	NUMBER_OF_LYMPH_NODES	Kruskal-Wallis (anova)	0.436048197806269	Range of values = 0 to 16, Mean = 2.93443, StdDev = 3.2314, nMissing = 1
14	RACE	Fisher's exact test	0.801831981680183	nTypes = 3 (ASIAN/BLACK OR AFRICAN AMERICAN/WHITE), nPatients = 2/4/113, nMissing = 4
15	ETHNICITY	Fisher's exact test	0.853191468085319	nTypes = 2 (HISPANIC OR LATINO/NOT HISPANIC OR LATINO), nPatients = 3/95, nMissing = 25
