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

This is a summary method for class "stdCoxph".

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## 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 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.