JS.crisk: A output table for univariable and multivariable competing...

Description Usage Arguments Value Examples

View source: R/JScrisk.R

Description

JS.crisk 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.

Usage

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JS.crisk(csurv, cevent, cvars, gnames)

Arguments

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

Value

A dataframed output including HRs (95% Confidence Intervals), P values.

Examples

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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)

SophiaJia/Jsurvformat1.2 documentation built on May 10, 2017, 2:33 p.m.