summary.stdCoxph: Summarizes Cox regression standardization fit
In stdReg: Regression Standardization

summary.stdCoxph

R Documentation

Summarizes Cox regression standardization fit

This is a summary method for class "stdCoxph".

## S3 method for class 'stdCoxph'
summary(object, t, CI.type = "plain", CI.level = 0.95,
  transform = NULL, contrast = NULL, reference = NULL, ...)

`object`	an object of class `"stdCoxph"`.
`t`	numeric, indicating the times at which to summarize. It defaults to the specified value(s) of the argument `t` in the `stdCox` function.
`CI.type`	string, indicating the type of confidence intervals. Either "plain", which gives untransformed intervals, or "log", which gives log-transformed intervals.
`CI.level`	desired coverage probability of confidence intervals, on decimal form.
`transform`	a string. If set to `"log"`, `"logit"`, or `"odds"`, the standardized survival function `\theta(t,x)` is transformed into `\psi(t,x)=log\{\theta(t,x)\}`, `\psi(t,x)=log[\theta(t,x)/\{1-\theta(t,x)\}]`, or `\psi(t,x)=\theta(t,x)/\{1-\theta(t,x)\}`, respectively. If left unspecified, `\psi(t,x)=\theta(t,x)`.
`contrast`	a string. If set to `"difference"` or `"ratio"`, then `\psi(t,x)-\psi(t,x_0)` or `\psi(t,x) / \psi(t,x_0)` are constructed, where `x_0` is a reference level specified by the `reference` argument.
`reference`	must be specified if `contrast` is specified.
`...`	not used.