# Clustering Approach 1 : MRNA_CNMF
Index	Clinical feature name	Test type	P value	Comment
1	Time to Death	logrank test	0.736294149529059	Range of duration = 0.39 to 173.82, nDeath = 71, nCensor = 81
2	YEARS_TO_BIRTH	Kruskal-Wallis (anova)	0.923661361435842	Range of values = 39 to 84, Mean = 66.5329, StdDev = 8.58377, nMissing = 2
3	PATHOLOGIC_STAGE	Fisher's exact test	0.001459985400146	nTypes = 7 (STAGE IA/STAGE IB/STAGE IIA/STAGE IIB/STAGE IIIA/STAGE IIIB/STAGE IV), nPatients = 23/60/7/28/19/13/4
4	PATHOLOGY_T_STAGE	Fisher's exact test	0.000449995500045	nTypes = 4 (T1/T2/T3/T4), nPatients = 30/100/12/12
5	PATHOLOGY_N_STAGE	Fisher's exact test	0.904110958890411	nTypes = 4 (N0/N1/N2/N3), nPatients = 96/40/13/5
6	PATHOLOGY_M_STAGE	Fisher's exact test	0.104208957910421	nTypes = 2 (0/1), nPatients = 146/4, nMissing = 4
7	GENDER	Fisher's exact test	0.333976660233398	nTypes = 2 (FEMALE/MALE), nPatients = 44/110
8	RADIATION_THERAPY	Fisher's exact test	1	nTypes = 2 (NO/YES), nPatients = 98/11, nMissing = 45
9	KARNOFSKY_PERFORMANCE_SCORE	Kruskal-Wallis (anova)	0.927449855477127	Range of values = 0 to 100, Mean = 40.8889, StdDev = 41.8776, nMissing = 109
10	HISTOLOGICAL_TYPE	Fisher's exact test	0.294577054229458	nTypes = 3 (LUNG BASALOID SQUAMOUS CELL CARCINOMA/LUNG PAPILLARY SQUAMOUS CELL CARICNOMA/LUNG SQUAMOUS CELL CARCINOMA- NOT OTHERWISE SPECIFIED (NOS)), nPatients = 5/1/148
11	NUMBER_PACK_YEARS_SMOKED	Kruskal-Wallis (anova)	0.484836446887404	Range of values = 7 to 240, Mean = 54.8346, StdDev = 36.4933, nMissing = 21
12	YEAR_OF_TOBACCO_SMOKING_ONSET	Kruskal-Wallis (anova)	0.899006783294729	Range of values = 1933 to 1985, Mean = 1958.02, StdDev = 10.5672, nMissing = 57
13	RESIDUAL_TUMOR	Fisher's exact test	0.563644363556364	nTypes = 4 (R0/R1/R2/RX), nPatients = 139/3/2/5, nMissing = 5
14	RACE	Fisher's exact test	0.994160058399416	nTypes = 3 (ASIAN/BLACK OR AFRICAN AMERICAN/WHITE), nPatients = 3/7/93, nMissing = 51
15	ETHNICITY	Fisher's exact test	0.249257507424926	nTypes = 2 (HISPANIC OR LATINO/NOT HISPANIC OR LATINO), nPatients = 4/89, nMissing = 61
