Control function for Cox regression

Source: R/cox_regression.R

[Stable]

Sets a list of parameters for Cox regression fit. Used internally.

control_coxreg(
  pval_method = c("wald", "likelihood"),
  ties = c("exact", "efron", "breslow"),
  conf_level = 0.95,
  interaction = FALSE
)

Arguments

pval_method

(string)
the method used for estimation of p.values; wald (default) or likelihood.

ties

(string)
among exact (equivalent to DISCRETE in SAS), efron and breslow, see survival::coxph(). Note: there is no equivalent of SAS EXACT method in R.

conf_level

(proportion)
confidence level of the interval.

interaction

(flag)
if TRUE, the model includes the interaction between the studied treatment and candidate covariate. Note that for univariate models without treatment arm, and multivariate models, no interaction can be used so that this needs to be FALSE.

Value

A list of items with names corresponding to the arguments.

Examples

control_coxreg()
#> $pval_method
#> [1] "wald"
#> 
#> $ties
#> [1] "exact"
#> 
#> $conf_level
#> [1] 0.95
#> 
#> $interaction
#> [1] FALSE
#>