Re: [R] Survival Analysis with an Historical Control

better. Your code is very interesting. Especially the parametric part. Nice to get an actual p-value for the test. Thanks, Paul On Mon, 7/21/14, Andrews, Chris wrote: Subject: RE: [R] Survival Analysis with an Historical Control Cc: "

Re: [R] Survival Analysis with an Historical Control

Chris -Original Message- From: Paul Miller [mailto:pjmiller...@yahoo.com] Sent: Thursday, July 10, 2014 8:59 AM To: Andrews, Chris Cc: r-help@r-project.org Subject: RE: [R] Survival Analysis with an Historical Control Hi Chris, Thanks for pointing out the use of "View page source".

Re: [R] Survival Analysis with an Historical Control

Thanks, Paul On Wed, 7/9/14, Andrews, Chris wrote: Subject: RE: [R] Survival Analysis with an Historical Control r-project.org> Received: Wednesday, July 9, 2014, 11:26 AM The code is actually available at the websites you provide.  Try &quo

Re: [R] Survival Analysis with an Historical Control

Hi Dr. Therneau, Thanks for your response. This is very helpful. My historical control value is 16 weeks. I've been having some trouble though determining how this value was obtained. Are you able to indicate how people normally go about determining a value for the historical control? Or do you

Re: [R] Survival Analysis with an Historical Control

You are asking for a one sample test. Using your own data: connection <- textConnection(" GD2 1 8 12 GD2 3 -12 10 GD2 6 -52 7 GD2 7 28 10 GD2 8 44 6 GD2 10 14 8 GD2 12 3 8 GD2 14 -52 9 GD2 15 35 11 GD2 18 6 13 GD2 20 12 7 GD2 23 -7 13 GD2 24 -52 9 GD2 26 -52 12

Re: [R] Survival Analysis with an Historical Control

The code is actually available at the websites you provide. Try "View page source" in your browser. The most cryptic code isn't needed because the math functions (e.g, incomplete gamma function) are available in R. -Original Message- From: Paul Miller [mailto:pjmiller...@yahoo.com] S