Multivariable Cox Regression (Continuous Predictor)

Extracts adjusted hazard ratio for a continuous variable from a multivariable Cox model.

cox_multivar_fun_cts(
  data_fun,
  res_time,
  res_event,
  var_model,
  var,
  multi_var_all = multi_var_all
)

Arguments

data_fun

Data frame containing survival data.

res_time

Character. Name of survival time variable.

res_event

Character. Name of event indicator (1 = event, 0 = censored).

var_model

Character vector of variables included in the multivariable model.

var

Character. Categorical predictor variable.

multi_var_all

Character vector of full model candidate variables. Used to determine whether var is included in var_model.

Value

A one-row matrix of adjusted HR and p-value.

Examples

if (FALSE) { # \dontrun{
cox_multivar_fun_cts(mydata, "OS_time", "OS_event",
                    var_model = c("Age","Stage"),
                    var = "Age")
} # }