# Clustering Approach 7 : MRNASEQ_CNMF
Index	Clinical feature name	Test type	P value	Comment
1	Time to Death	logrank test	0.047544744741415	Range of duration = 0.03 to 223.96, nDeath = 83, nCensor = 236
2	AGE	ANOVA	0.00120955328274122	Range of values = 38 to 86, Mean = 65.195, StdDev = 9.76187, nMissing = 31
3	GENDER	Chi-square test	3.07551068560643e-08	nTypes = 2 (FEMALE/MALE), nPatients = 191/163
4	KARNOFSKY.PERFORMANCE.SCORE	ANOVA	0.934284925383495	Range of values = 0 to 100, Mean = 75.8621, StdDev = 32.3505, nMissing = 325
5	HISTOLOGICAL.TYPE	Chi-square test	0.000278357731911804	nTypes = 11 (LUNG ACINAR ADENOCARCINOMA/LUNG ADENOCARCINOMA MIXED SUBTYPE/LUNG ADENOCARCINOMA- NOT OTHERWISE SPECIFIED (NOS)/LUNG BRONCHIOLOALVEOLAR CARCINOMA MUCINOUS/LUNG BRONCHIOLOALVEOLAR CARCINOMA NONMUCINOUS/LUNG CLEAR CELL ADENOCARCINOMA/LUNG MICROPAPILLARY ADENOCARCINOMA/LUNG MUCINOUS ADENOCARCINOMA/LUNG PAPILLARY ADENOCARCINOMA/LUNG SOLID PATTERN PREDOMINANT ADENOCARCINOMA/MUCINOUS (COLLOID) CARCINOMA), nPatients = 10/75/214/4/17/2/3/2/17/3/7
6	RADIATIONS.RADIATION.REGIMENINDICATION	Chi-square test	0.525205720416867	nTypes = 2 (NO/YES), nPatients = 17/337
7	NUMBERPACKYEARSSMOKED	ANOVA	0.0520255197117994	Range of values = 0 to 154, Mean = 41.0403, StdDev = 26.8263, nMissing = 112
8	YEAROFTOBACCOSMOKINGONSET	ANOVA	0.00786755607762279	Range of values = 1930 to 1997, Mean = 1965, StdDev = 12.7671, nMissing = 169
9	DISTANT.METASTASIS	Chi-square test	0.312890937629021	nTypes = 5 (M0/M1/M1A/M1B/MX), nPatients = 242/17/1/3/87, nMissing = 4
10	LYMPH.NODE.METASTASIS	Chi-square test	0.705211816332556	nTypes = 5 (N0/N1/N2/N3/NX), nPatients = 218/71/55/1/7, nMissing = 2
11	COMPLETENESS.OF.RESECTION	Chi-square test	0.886776967965754	nTypes = 4 (R0/R1/R2/RX), nPatients = 213/9/4/12, nMissing = 116
12	TUMOR.STAGECODE	ANOVA	NA	Range of values = Inf to -Inf, Mean = NaN, StdDev = NA, nMissing = 354
13	NEOPLASM.DISEASESTAGE	Chi-square test	0.835235563211463	nTypes = 8 (STAGE I/STAGE IA/STAGE IB/STAGE IIA/STAGE IIB/STAGE IIIA/STAGE IIIB/STAGE IV), nPatients = 2/82/103/28/51/55/10/21, nMissing = 2