Try: survfit(Surv(Time, 1-Status)~1)
On Wed, Jun 27, 2012 at 5:37 AM, niloo javan wrote:
>
>
> Hello
>
> In (survfit(Surv(Time,Status)~1))
>
> I want to have status=0 as Failure and status=1 as Censore.
>
> Changing above formula to (survfit(Surv(Time,Status)~0)) doesnot help!!
> What should i do
Hello
In (survfit(Surv(Time,Status)~1))
I want to have status=0 as Failure and status=1 as Censore.
Changing above formula to (survfit(Surv(Time,Status)~0)) doesnot help!!
What should i do?
Thank You.
_
Best Regards
Niloofar.Javanrouh
MSc Of BioStatisticsĀ
[[alternat
Two thoughts. First, prediction with time dependent covariates is
always an issue. If you had unemployment as a month-by-month
time-dependent covariate in the first model, then for prediction you
will need to provide a month-by-month future unemployment scenario.
Doing this is easy in the code, b
Hi, I
am working on fitting a proportional hazard model to predict the
probability of default for mortgage loans. I have a question regarding
survfit function. My
historical data set is a pool of loans with monthly observed default
status for the next 24 months. The data is left truncated (d
--begin inclusion ---
I am trying to extract output information from the survfit function in
order
to generate a matrix of select output for multiple factors.
Specifically, I am interested in extracting the number of events (in the
output below: 106, 2, 3). The variable names represented in my fun
On Jun 21, 2010, at 6:50 PM, CC wrote:
Hi all!
I am trying to extract output information from the survfit function
in order
to generate a matrix of select output for multiple factors.
Specifically, I am interested in extracting the number of events (in
the
output below: 106, 2, 3). The v
Hi all!
I am trying to extract output information from the survfit function in order
to generate a matrix of select output for multiple factors.
Specifically, I am interested in extracting the number of events (in the
output below: 106, 2, 3). The variable names represented in my function
(ee) ar
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