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nerdseeksblonde

01/08/07 3:54 PM

#1941 RE: nerdseeksblonde #1940

and, of course,
you would like a survival scatter plot to show that
the placebo ( at least the true placebos) lie
pretty much on a line observed=predicted+small_delta to
make up for historical calibration( gleason inflation if
applicable, better nutrition, pomegranate juice consumption,
etc). If the placebo predicted vs survival curve
doesn't have some decent fit, the "corrected" provenge
results may be suspect. All the fit quality parameters
need to be examined but you have to be sceptical if
there are gross problems in the simple stuff- see my earlier post on the incorrect published structure due to a software bug- if it doesn't look right you need to be sceptical.
You can quote a median survival difference and a p value but looking at the graph - which is less susceptible to processing errors- can add or reduce confidence in the derived numbers.




walldiver

01/08/07 4:50 PM

#1943 RE: nerdseeksblonde #1940

Sorry, but that, again, is a lot of sound and fury signifying nothing. Yes, they will look for consistency across subgroups, but they're not going to care one whit about proof of the exact MOA, and I doubt they will place much emphasis on PK/PD. It's all about whether or not 9902A can be considered supportive, and if the survival dataset is sufficiently large.