Description Usage Arguments Details Value References Examples

Compute the D statistic proposed by Royston and Sauerbrei along with several pseudo- R square values.

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`fit` |
a coxph fit |

`newdata` |
optional validation data set |

`ties` |
make a correction for ties in the risk score |

`adjust` |
adjust for possible overfitting |

These values are called pseudo R-squared since they involve only
the linear predictor, and not the outcome.
`R.D`

is the value that corresponsds the Royston and Sauerbrei
*D* statistic. `R.KO`

is the value proposed by Kent and
O'Quigley, `R.N`

is the value proposed by Nagelkerke, and
`C.GH`

corresponds to Goen and Heller's concordance measure.

An adjustment for D is based on the ratio r= (number of events)/(number of coefficients). For models which have sufficient sample size (r>20) the adjustment will be small.

a vector containing the value of D, the estimated standard error of D, and four pseudo R-squared values.

M. Goen and G. Heller, Concordance probability and discriminatory power in proportional hazards regression. Biometrika 92:965-970, 2005.

N. Nagelkerke, J. Oosting, J. and A. Hart, A simple test for goodness of fit of Cox's proportional hazards model. Biometrics 40:483-486, 1984.

P. Royston and W. Sauerbrei, A new measure of prognostic separation in survival data. Statistics in Medicine 23:723-748, 2004.

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