\HeaderA{survobrien}{O'Brien's Test for Association of a Single Variable with Survival}{survobrien}
\keyword{survival}{survobrien}
\begin{Description}\relax
Peter O'Brien's test for association of a single variable with survival
This test is proposed in Biometrics, June 1978.
\end{Description}
\begin{Usage}
\begin{verbatim}
survobrien(formula, data)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{formula}] a valid formula for a cox model, without time dependent covariates.

\item[\code{data}] a data frame.

\end{ldescription}
\end{Arguments}
\begin{Value}
a new data frame.  The original time and status variables are removed,
and have been replaced with \code{start}, \code{stop}, and \code{event}.  If a
predictor variable is a factor or is protected with \code{I()}, it is
retained as is.  Other predictor variables have been replaced with
time-dependent logit scores.


Because of the time dependent variables, the new data frame will have many
more rows that the original data, approximately \#rows * \#deaths /2.
\end{Value}
\begin{Section}{METHOD}
A time-dependent cox model can now be fit to the new data.
The univariate statistic, as originally proposed, is equivalent to
single variable score tests from the time-dependent model.
This equivalence is the rationale for using the time dependent model as a
multivariate extension of the original paper.


In O'Brien's method, the x variables are re-ranked at each death time.  A
simpler method, proposed by Prentice, ranks the data only once at the
start. The results are usually similar.
\end{Section}
\begin{References}\relax
O'Brien, Peter, "A Nonparametric Test for Association with Censored Data",
\emph{Biometrics} 34: 243-250, 1978.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{survdiff}{survdiff}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
xx <- survobrien(Surv(futime, fustat) ~ age + factor(rx) + I(ecog.ps),
                               data=ovarian)
coxph(Surv(start, stop, event) ~ age, data=xx)
coxph(Surv(start, stop, event) ~ age + rx + ecog.ps, data=xx)
\end{ExampleCode}
\end{Examples}