Summarizes Cox regression standardization fit

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Description

This is a summary method for class "stdCoxph".

Usage

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## S3 method for class 'stdCoxph'
summary(object, t, CI.type = "plain", CI.level = 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, in percent.

transform

a string. If set to "log", "logit", or "odds", the standardized survival function θ(t,x) is transformed into ψ(t,x)=log\{θ(t,x)\}, ψ(t,x)=log[θ(t,x)/\{1-θ(t,x)\}], or ψ(t,x)=θ(t,x)/\{1-θ(t,x)\}, respectively. If left unspecified, ψ(t,x)=θ(t,x).

contrast

a string. If set to "difference" or "ratio", then ψ(t,x)-ψ(t,x_0) or ψ(t,x) / ψ(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

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##See documentation for stdCoxph