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Most significant correlations (complete list can be found here)
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{csv}STAD,DataType,NumberOfNAs,Test,Pvalue
residual_tumor,factor,8,Pearson's Chi-squared test,8.06E-17
year_of_initial_pathologic_diagnosis,integer,1,Kruskal-Wallis rank sum test,2.88E-13
days_to_form_completion,integer,1,Kruskal-Wallis rank sum test,3.72E-11
days_to_last_followup,integer,1,Kruskal-Wallis rank sum test,5.15E-11
primary_tumor_pathologic_spread,factor,1,Pearson's Chi-squared test,1.68E-06
histological_type,factor,6,Pearson's Chi-squared test,5.82E-06
lymphnode_pathologic_spread,factor,1,Pearson's Chi-squared test,6.09E-05
number_of_lymphnodes_examined,integer,53,Kruskal-Wallis rank sum test,1.25E-04
vital_status,factor,1,Pearson's Chi-squared test,2.95E-03
tumor_stage,factor,31,Pearson's Chi-squared test,3.49E-02{csv} |
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Batch vs survival
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Call: coxph(formula = survivalObject ~ batchVector) n= 134, number of events= 14 coef exp(coef) se(coef) z Pr(>|z|) batchVector1156 1.722e+01 3.012e+07 7.152e+03 0.002 0.998 batchVector1601 1.786e+01 5.728e+07 7.152e+03 0.002 0.998 batchVector1801 1.663e+01 1.665e+07 7.152e+03 0.002 0.998 batchVector1883 NA NA 0.000e+00 NA NA exp(coef) exp(-coef) lower .95 upper .95 batchVector1156 30117568 3.320e-08 0 Inf batchVector1601 57279474 1.746e-08 0 Inf batchVector1801 16645384 6.008e-08 0 Inf batchVector1883 NA NA NA NA Rsquare= 0.026 (max possible= 0.496 ) Likelihood ratio test= 3.58 on 3 df, p=0.3109 Wald test = 2.13 on 3 df, p=0.545 Score (logrank) test = 3.1 on 3 df, p=0.3762 Warning messages: 1: In fitter(X, Y, strats, offset, init, control, weights = weights, : Loglik converged before variable 1,2,3 ; beta may be infinite. 2: In coxph(survivalObject ~ batchVector) : X matrix deemed to be singular; variable 4 |
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