View source: R/cox_regression.R
nt_simple_cox | R Documentation |
Performing simple Cox regression.
nt_simple_cox(
data,
time,
status,
...,
labels = NULL,
increment = NULL,
cluster = FALSE,
strata = NULL,
format = TRUE,
digits = 2,
digits.p = 3,
save = FALSE,
file = "simple_cox"
)
data |
a data frame with the variables. |
time |
a numeric vector with the follow-up time. |
status |
a numeric vector indicating status, 0 = censored, 1 = event at time. |
... |
character values indicating confounding variables. |
labels |
a list of labels with components given by their variable names. |
increment |
a named list indicating the magnitude of increments to calculate odds ratio for continuous covariates. |
cluster |
a character vector containing the cluster variable. |
strata |
a character vector containing the strata variable. |
format |
a logical value indicating whether the output should be formatted. |
digits |
a numerical value defining of digits to present the results. |
digits.p |
a numerical value defining number of digits to present the p-values. |
save |
a logical value indicating whether the output should be saved as a csv file. |
file |
a character indicating the name of output file in csv format to be saved. |
library(survival)
library(dplyr)
data(ovarian)
ovarian_nt <- ovarian |> mutate(resid.ds = factor(resid.ds,
levels = 1:2,
labels = c("no", "yes")),
ecog.ps = factor(ecog.ps,
levels = 1:2,
labels = c("I", "II")),
rx =factor(rx,
levels = 1:2,
labels = c("t1", "t2")))
ovarian_nt |> nt_simple_cox(time = futime, status = fustat,
labels = list(resid.ds = "Residual Disease",
ecog.ps = "ECOG-PS",
rx = "Treatment",
age = "Age"))
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