Hello, I have a survivor curve that shows account cancellations during the past 3.5 months. Fortunately for our business, but unfortunately for my analysis, the survivor curve doesn't yet pass through 50%. Is there a safe way to extend the survivor curve and estimate at what time we'll hit 50%? We started a new program 3.5 months ago, and I believe that this set of accounts behaves differently than the rest of our company's accounts. Thanks very much, Alan -- Alan Cox Director, User Experience iContact, Corp. p 919.459.1038 f 919.287.2475 [[alternative HTML version deleted]]
Richard.Cotton at hsl.gov.uk
2008-Sep-04 13:24 UTC
[R] Projecting Survival Curve into the Future
> I have a survivor curve that shows account cancellations during the > past 3.5 months. ? Fortunately for our business, but unfortunately > for my analysis, the survivor curve doesn't yet pass through 50%. > ? Is there a safe way to extend the survivor curve and estimate at > what time we'll hit 50%?Without any example code it's hard to say, but take a look at ?predict.coxph and ?predict.survreg in the survival package. Regards, Richie. Mathematical Sciences Unit HSL ------------------------------------------------------------------------ ATTENTION: This message contains privileged and confidential inform...{{dropped:20}}
You might consider a probit analysis using ln(Time) as the "dose". At 09:24 AM 9/4/2008, Richard.Cotton at hsl.gov.uk wrote:> > I have a survivor curve that shows account cancellations during the > > past 3.5 months. ? Fortunately for our business, but unfortunately > > for my analysis, the survivor curve doesn't yet pass through 50%. > > ? Is there a safe way to extend the survivor curve and estimate at > > what time we'll hit 50%? > >Without any example code it's hard to say, but take a look at >?predict.coxph and ?predict.survreg in the survival package. > >Regards, >Richie. > >Mathematical Sciences Unit >HSL===============================================================Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: ral at lcfltd.com Least Cost Formulations, Ltd. URL: http://lcfltd.com/ 824 Timberlake Drive Tel: 757-467-0954 Virginia Beach, VA 23464-3239 Fax: 757-467-2947 "Vere scire est per causas scire" ================================================================