cox_table_time_dependent_cov: Print results from univariate or multivariate cox regression

In MBender1992/emR: Dictionary for EuMelaReg functions (analysis of clinical studies)

Print results from univariate or multivariate cox regression

Description

This function combines the results from multiple calls of cox_output and prints the output as an htmlTable generated with the htmlTable package or the output of multivariate cox regression.

Usage

cox_table_time_dependent_cov(
  data,
  time1,
  time2,
  status,
  vars,
  rgroup = NULL,
  footnote = NULL,
  printHTML = TRUE,
  univariate = TRUE,
  weights = NULL,
  ...
)

Arguments

data	data.frame or data.table containing survival data.
time1	the time interval from start of observation until date of event (e.g. disease progression or death) or censoring.
time2	ending time of the interval for interval censored or counting process data only. Intervals are assumed to be open on the left and closed on the right, (start, end]. For counting process data, event indicates whether an event o
status	variable specifying if event occured or data has been censored.
vars	one or more variables defined as character strings to be included in the table
rgroup	a vector of character strings containing headings for row groups.
footnote	character string passed on to tfoot argument of htmlTable
printHTML	Logical value. If TRUE output is printed as htmlTable. Default is TRUE.
univariate	Logical value. If TRUE output of univariate cox regression is printed. Else output of multivariate cox regression is printed. Default is TRUE.
weights	character variable specifying the name of the weights column. Weights have to be added to the original dataframe in order to be applied correctly.
...	additional arguments to be passed on to cox_output

MBender1992/emR documentation built on Feb. 18, 2025, 9:21 a.m.