# Clustering Approach 9 : MIRSEQ_MATURE_CNMF
Index	Clinical feature name	Test type	P value	Comment
1	Time to Death	logrank test	0.928601318805838	Range of duration = 0.1 to 131.15, nDeath = 35, nCensor = 95
2	AGE	ANOVA	0.186988279935512	Range of values = 34 to 87, Mean = 67.5735, StdDev = 10.5743, nMissing = 1
3	GENDER	Fisher's exact test	0.0101009537773239	nTypes = 2 (FEMALE/MALE), nPatients = 35/102
4	KARNOFSKY.PERFORMANCE.SCORE	ANOVA	0.336195397214913	Range of values = 30 to 90, Mean = 78.2051, StdDev = 16.0381, nMissing = 98
5	NUMBERPACKYEARSSMOKED	ANOVA	0.999641061245977	Range of values = 1.5 to 112, Mean = 36.7912, StdDev = 22.9278, nMissing = 52
6	DISTANT.METASTASIS	Chi-square test	0.938402790233923	nTypes = 3 (M0/M1/MX), nPatients = 80/5/51, nMissing = 1
7	LYMPH.NODE.METASTASIS	Chi-square test	0.00713350878611215	nTypes = 5 (N0/N1/N2/N3/NX), nPatients = 77/14/28/5/10, nMissing = 3
8	NUMBER.OF.LYMPH.NODES	ANOVA	0.111767563327876	Range of values = 0 to 22, Mean = 1.86, StdDev = 3.72819, nMissing = 37
9	TUMOR.STAGECODE	ANOVA	NA	Range of values = Inf to -Inf, Mean = NaN, StdDev = NA, nMissing = 137
10	NEOPLASM.DISEASESTAGE	Chi-square test	0.0500051418109112	nTypes = 4 (STAGE I/STAGE II/STAGE III/STAGE IV), nPatients = 1/37/45/49, nMissing = 5