Description Usage Arguments Value Examples
JS.crisk_m output the table with general competing risk analysis result with HR (95% Confidence Interval),P value. This function only change the format of the output. Note the difference with JS.crisk, however the usage is the same
1 | JS.crisk_m(csurv, cevent, cvars, gnames)
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csurv |
Follow up time |
cevent |
The status indicator, normally 0 = alive, 1 = event, 2 = other event |
cvars |
A Matrix of groups variables |
gnames |
A text vector of the the group name for output |
A dataframed output including HRs (95% Confidence Intervals), P values.
1 2 3 4 5 | X <- cbind(D$mutation,D$group2_1, D$group2_2 , D$age_ge60, D$comor_m, D$transplant_type, D$donor_m2, D$cellsource_m, D$diseasestat_m2)
Gnames <- c('SRSF2/U2FA1(WT vs Mutation)', 'Disease(AML vs MPN)', 'Disease(AML vs MDS or MDS/MPN)',
'Age(< 60 vs > 60)', 'Comorbidity(Low vs Intern vs High)','Transplant ( Myeloblative vs Reduced Intensity)',
'Donor(Sib/Related vs Unrelated)','Cell Source(BM vs PSC vs Cord)','Disease status(Relapse/Refrac or Untreated vs CR/NR/PR)')
B.RRM <- crisk (D$surv, D$censor_rm, X, Gnames)
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