calc_cox_regression: Fit a Cox regression model using radiomic features

In cgplab/RadAR: Radiomic Analysis with R

Description

This function fits a Cox Proportional-Hazards Model using radiomic features as independent variables. Response should be an object obtained by Surv

Usage

calc_cox_regression(
  rdr = NULL,
  surv_obj = NULL,
  thr_cox_zvalue = NA,
  which_data = "scaled",
  multiple_regression = F
)

Arguments

rdr	A RadAR object (class SummarizedExperiment).
surv_obj	An object of class Surv.
thr_cox_zvalue	(numeric) Z threshold (Wald statistics) to identify statistically significant features from cox regression analysis. It should be in the range (0, inf).
which_data	(character) Which data use to compute concordance index. It can be one of the following: "normal", "scaled", "normalized".
multiple_regression	(character). Cox regression can be "multiple" (surv ~ all features) or "single" (surv ~ each feature).

Value

An updated rdr (a RadAR object)

Author(s)

Matteo Benelli ([e-mail])

cgplab/RadAR documentation built on Nov. 10, 2021, 1:32 a.m.