\HeaderA{summary.coxph}{Summary method for Cox models}{summary.coxph}
\keyword{survival}{summary.coxph}
\begin{Description}\relax
Produces a summary of a fitted coxph model
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'coxph':
summary(object, conf.int=0.95, scale=1,...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{object}] the result of a coxph fit 

\item[\code{conf.int}] level for computation of the confidence intervals. 
If set to FALSE no confidence intervals are printed 

\item[\code{scale}] vector of scale factors for the coefficients, defaults to 1. 
The confidence limits are for the risk change associated with one scale unit. 

\item[\code{...}] for future methods
\end{ldescription}
\end{Arguments}
\begin{Value}
An object of class \code{summary.coxph}.
\end{Value}
\begin{SeeAlso}\relax
coxph, print.coxph
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
fit <- coxph(Surv(time, status) ~ age + sex, lung) 
summary(fit) 
## Not run: 
Call: 
coxph(formula = Surv(time, status) ~ age + sex, data = lung) 
  
  n= 228  
  
      coef exp(coef) se(coef)     z      p  
age  0.017     1.017  0.00922  1.85 0.0650 
sex -0.513     0.599  0.16745 -3.06 0.0022 
  
    exp(coef) exp(-coef) lower .95 upper .95  
age     1.017      0.983     0.999     1.036 
sex     0.599      1.670     0.431     0.831 
  
Rsquare= 0.06   (max possible= 0.999 ) 
Likelihood ratio test= 14.1  on 2 df,   p=0.000857 
Wald test            = 13.5  on 2 df,   p=0.00119 
Score (logrank) test = 13.7  on 2 df,   p=0.00105 
## End(Not run)\end{ExampleCode}
\end{Examples}

