predict.coxph {survival} | R Documentation

## Predictions for Cox model

### Description

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

### Usage

    predict.coxph(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.

### See Also

`predict`,`coxph`,`termplot`

### Examples

    data(aml)
    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)

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