nt_multiple_cox: Proportional Hazards Cox regression table
In dnzmarcio/ntimes: ntimes

nt_multiple_cox

R Documentation

Proportional Hazards Cox regression table

Description

Tabulating results from fitted Proportional Hazards Cox models.

Usage

nt_multiple_cox(
  fit,
  ci_type = "wald",
  contrast_qt = "one-unit",
  user_contrast = NULL,
  user_contrast_interaction = NULL,
  table_reference = TRUE,
  format = TRUE,
  labels = NULL,
  digits = 2,
  digits_p = 3,
  save = FALSE,
  file = "nt_multiple_cox"
)

Arguments

`fit`	a coxph object.
`ci_type`	a character value indicating the procedure to calculate confidence intervals: likelihood ratio (`lr`) or wald (`wald`).
`contrast_qt`	a character value "quartiles", "one-unit", "user" to indicate the contrast for all covariates.
`user_contrast`	a variable named list of numerical vectors indicating contrast for a given covariate.
`user_contrast_interaction`	a variable named list of numerical vectors indicating a contrast for a given interaction.
`table_reference`	a logical value indicating whether the output should be presented with a line indicating the reference category.
`format`	a logical value indicating whether the output should be formatted.
`labels`	a list of labels with components given by their variable names.
`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.

Examples

library(survival)
library(dplyr)

data(ovarian)
dt <- 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")))


fit <- coxph(Surv(futime, fustat) ~ age + ecog.ps*rx, data = dt)

nt_multiple_cox(fit)

dnzmarcio/ntimes documentation built on Feb. 5, 2025, 8:57 a.m.