R help - Feb 2009 - need some help about using R for Kaplan-Meier estimator

Hi Fello:
 
I am asked to compute the Kaplan-Meier estimator of data with right censoring
without using surfit(). Does anyone know how to use R to compute the estimators?
The data should input X: vector of right-censored observed time for n
individuals, and d: vector of failure time indicators (0=censored
individual;1=unconsored individual)
and the function should return with
t: vector of sorted observed event times, in increasing order; and km: vector of
Kaplan-Meier estimates, corresponding to t.
 
Thanks
 
Best Regards,
_________________________________________________________________


owitworks_012009
	[[alternative HTML version deleted]]

chen chen wrote:
> Hi Fello:
> 
> I am asked to compute the Kaplan-Meier estimator of data with right
censoring without using surfit().

I.e., a homework problem...

For such problem people will at best offer hints.

The KM estimator is the

---> cumulative product

of

---> decrements

that depend on

---> the number at risk at the event times.


This gives you a list of three things that you need to figure out how to 
calculate.

 > Does anyone know how to use R to
compute the estimators?
> The data should input X: vector of right-censored observed time for n
> 
individuals, and d: vector of failure time indicators (0=censored
individual;1=unconsored individual)
> and the function should return with t: vector of sorted observed
> event times, in increasing order; and km:
vector of Kaplan-Meier estimates, corresponding to t.
> 
  Thanks
>  
> Best Regards,
> _________________________________________________________________
> 
> 
> owitworks_012009
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
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> PLEASE do read the posting guide
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