R: Predictions for Cox model

predict.coxph {survival}

R Documentation

Predictions for Cox model

Description

Compute fitted values and regression terms for a model fitted by coxph

Usage

## S3 method for class 'coxph':
predict(object, newdata, type=c("lp", "risk", "expected", "terms"), se.fit=FALSE, terms=names(object$assign), collapse, safe=FALSE,...)

Arguments

`object`	A `coxph` object
`newdata`	Optional new data to predict at
`type`	Type of prediction wanted
`se.fit`	Return standard errors as well?
`terms`	If `type="terms"`, which terms to return.
`collapse`	identifier for which rows correspond to different individuals
`safe`	Use a more intensive `safe' prediction method
`...`	other unused arguments

Value

A vector or matrix of fitted values. If se.fit=TRUE a list whose first component is the fitted values and second is the standard errors.

Examples

fit<-coxph(Surv(time,status)~x,data=aml)
predict(fit,type="lp")
predict(fit,type="risk")
predict(fit,type="expected")
predict(fit,type="terms")
predict(fit,type="lp",se.fit=TRUE)
predict(fit,type="risk",se.fit=TRUE)
predict(fit,type="expected",se.fit=TRUE)
predict(fit,type="terms",se.fit=TRUE)