crisk_multiuni: Modify the Output for Multiple Uni-variable Competing Risk...

In SophiaJia/Survout: Excel Conversion of R Surival Analysis Output

Modify the Output for Multiple Uni-variable Competing Risk Analysis .

Description

This function generates a table of competing risk analysis result with number of patients, number of event, number of competing event,

Usage

crisk_multiuni(
  dat,
  csurv,
  cevent,
  catvars = NULL,
  convars = NULL,
  ordvars = NULL,
  y1 = TRUE,
  y2 = TRUE,
  y5 = TRUE,
  month = 0
)

Arguments

dat	a data.frame in which to interpret the variables.
csurv	this is the follow up time.
cevent	the status indicator, normally 0=alive, 1=dead.
catvars	a vector of cat variable names.
convars	a vector of con variable names.
ordvars	a vector of ordinal variable names.
y1	logical value indicating whether the 1-year competing risk rate should be reported.
y2	logical value indicating whether the 2-year competing risk rate should be reported.
y5	logical value indicating whether the 5-year competing risk rate should be reported.
month	a number to get the month-rate of competing risk.

Value

a tibble of competing risk analysis output.

Examples

Dat <- MASS::Melanoma
Dat$time <- Dat$time/30.5
Dat$ulcer <- as.factor(Dat$ulcer)
con_var <- c("age")
ord_var <- c("ulcer")
cat_var <- c("sex")
uni_out <- crisk_multiuni(Dat, "time", "status",cat_var, con_var, ord_var)

SophiaJia/Survout documentation built on Oct. 1, 2022, 9:52 p.m.