Description Usage Arguments Value Examples
JB.logreg_om output the table with ordered logistic regression 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 | JB.logreg_om(xvar, yvar, name)
|
xvar |
A matrix of independent variable |
yvar |
Dependent variable range (level > 2) |
name |
A vertor of independent variable name |
A formated output including OR(95% Confidence Intervals), P value.
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$diseasestat_m2)
Gnames <- c('SRSF2/U2FA1(WT vs Mutation)', 'Disease(AML vs MPN)', 'Disease(AML vs MDS or MDS/MPN)',
'Age(< 60 vs > 60)', 'Comorbidity(Low vs Intern vs High)','Transplant ( Myeloblative vs Reduced Intensity)',
'Donor(Sib/Related vs Unrelated)','Cell Source(BM vs PSC vs Cord)','Disease status(Relapse/Refrac or Untreated vs CR/NR/PR)')
JB.logreg_om(X, D$aGVHD_1Y, Gnames)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.