multi_coxph: multivariate survival analysis using coxph

In whirlsyu/EnMCB: Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

multivariate survival analysis using coxph

Description

multivariate survival analysis using coxph

Usage

multi_coxph(dataframe, y_surv, digits = 4, asnumeric = TRUE)

Arguments

dataframe	Clinic data and covariates ready to be tested. Note that Rows are samples and columns are variables.
y_surv	Survival function contain survival data, usually are obtained form Surv() function in survival package.
digits	Integer indicating the number of decimal places.
asnumeric	indicator that the data will be (True) / not (False) transformed into numeric. Default is true.

Value

Object of class matrix with results.

Author(s)

Xin Yu

Examples

data(demo_survival_data)
data('demo_data',package = "EnMCB")
demo_set<-demo_data$realdata
res<-multi_coxph(t(demo_set),demo_survival_data)

whirlsyu/EnMCB documentation built on Jan. 25, 2023, 4:33 a.m.