# R: Proportional Hazards Regression Object

coxph.object {survival} | R Documentation

## Proportional Hazards Regression Object

### Description

This class of objects is returned by the `coxph` class of functions to represent a fitted proportional hazards model.

Objects of this class have methods for the functions `print`, `summary`, `residuals`, `predict` and `survfit`.

### COMPONENTS

The following components must be included in a legitimate `coxph` object.

coefficients
  the coefficients of the linear predictor, which multiply the columns of the model matrix. If the model is over-determined there will be missing values in the vector corresponding to the redundant columns in the model matrix.
var
  the variance matrix of the coefficients. Rows and columns corresponding to any missing coefficients are set to zero.
naive.var
  this component will be present only if the `robust` option was true. If so, the `var` component will contain the robust estimate of variance, and this component will contain the ordinary estimate.
loglik
  a vector of length 2 containing the log-likelihood with the initial values and with the final values of the coefficients.
score
  value of the efficient score test, at the initial value of the coefficients.
rscore
  the robust log-rank statistic, if a robust variance was requested.
wald.test
  the Wald test of whether the final coefficients differ from the initial values.
iter
  number of iterations used.
linear.predictors
  the vector of linear predictors, one per subject.
residuals
  the martingale residuals.
means
  vector of column means of the X matrix. Subsequent survival curves are adjusted to this value.
n
  the number of observations used in the fit.
weights
  the vector of case weights, if one was used.
method
  the computation method used.
na.action
  the `na.action` attribute, if any, that was returned by the `na.action` routine.

The object will also contain the following, for documentation see the `lm` object: `terms`, `assign`, `formula`, `call`, and, optionally, `x`, `y`, and/or `frame`.

### See Also

`coxph`, `coxph.detail`, `cox.zph`, `survfit`, `residuals.coxph`, `survreg`

[Package survival version 2.32 Index]