summary.coxph {survival} | R Documentation |

## Summary method for Cox models

### Description

Produces a summary of a fitted coxph model

### Usage

```
## S3 method for class 'coxph'
summary(object, conf.int=0.95, scale=1,...)
```

### Arguments

`object` |
the result of a coxph fit |

`conf.int` |
level for computation of the confidence intervals. If set to FALSE no confidence intervals are printed |

`scale` |
vector of scale factors for the coefficients, defaults to 1. The printed coefficients, se, and confidence intervals will be associated with one scale unit. |

`...` |
for future methods |

### Value

An object of class `summary.coxph`

, with components:

`n` , `nevent` |
number of observations and number of events, respectively, in the fit |

`loglik` |
the log partial likelihood at the initial and final values |

`coefficients` |
a matrix with one row for each coefficient, and columns containing the coefficient, the hazard ratio exp(coef), standard error, Wald statistic, and P value. |

`conf.int` |
a matrix with one row for each coefficient, containing the confidence limits for exp(coef) |

`logtest` , `sctest` , `waldtest` |
the overall likelihood ratio, score, and Wald test statistics for the model |

`concordance` |
the concordance statistic and its standard error |

`used.robust` |
whether an asymptotic or robust variance was used |

`rsq` |
an approximate R^2 based on Nagelkerke (Biometrika 1991). |

`fail` |
a message, if the underlying coxph call failed |

`call` |
a copy of the call |

`na.action` |
information on missing values |

### Note

The pseudo r-squared of Nagelkerke is attractive because it is simple,
but further work has shown that it has poor properties and it is now
deprecated. The value is no longer printed by default, and will
eventually be removed from the object.
The `royston`

function now includes it along with several other
measures of association.

### See Also

### Examples

```
fit <- coxph(Surv(time, status) ~ age + sex, lung)
summary(fit)
```

*survival*version 3.6-4 Index]