coxphuni: Cox proprotional hazards univariable models: 'finalfit' model...

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Cox proprotional hazards univariable models: finalfit model wrapper

Description

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

Usage

coxphuni(.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.

Details

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

Value

A list of univariable coxph fitted model outputs. Output is of class coxphlist.

See Also

fit2df, finalfit_merge

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

Examples

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

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

finalfit documentation built on Nov. 17, 2023, 1:09 a.m.