coxphmulti: Cox proprotional hazards multivariable models: 'finalfit'...

In finalfit: Quickly Create Elegant Regression Results Tables and Plots when Modelling

Cox proprotional hazards multivariable models: finalfit model wrapper

Description

Using finalfit conventions, produces multivariable Cox Proportional Hazard regression models for a set of explanatory variables against a survival object.

Usage

coxphmulti(.data, dependent, explanatory, ...)

Arguments

.data	Data frame.
dependent	Character vector of length 1: name of survival object in form Surv(time, status).
explanatory	Character vector of any length: name(s) of explanatory variables.
...	Other arguments to pass to coxph.

Details

Uses coxph with finalfit modelling conventions. Output can be passed to fit2df.

Value

A multivariable coxph fitted model output. Output is of class coxph.

See Also

fit2df, finalfit_merge

Other finalfit model wrappers: coxphuni(), crrmulti(), crruni(), glmmixed(), glmmulti_boot(), glmmulti(), glmuni(), lmmixed(), lmmulti(), lmuni(), svyglmmulti(), svyglmuni()

Examples

# Cox Proportional Hazards multivariable analysis.
library(finalfit)
library(dplyr)

explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = "Surv(time, status)"
colon_s %>%
	coxphmulti(dependent, explanatory) %>%
	fit2df()

finalfit documentation built on Sept. 11, 2024, 9:01 p.m.