coxph.object {survival4}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'.

Arguments

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.
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.
robust.var optional component added by the coxph.rvar function, containing a sandwich estimate of variance.
rcall optional copy of the call to coxph.rvar.

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

COMPONENTS

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

See Also

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


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