summary.stdCoxph function

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, ...)

Arguments

• 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.

Author(s)

Arvid Sjolander

See Also

stdCoxph

Examples

##See documentation for stdCoxph