Nice guess Duncan! Otherwise, I can't think of other ways to get that number.
Thanks John ----- Original Message ----- From: Duncan Murdoch <murdoch.dun...@gmail.com> To: array chip <arrayprof...@yahoo.com> Cc: r-help <r-help@r-project.org> Sent: Friday, August 5, 2011 11:21 AM Subject: Re: [R] a question On 05/08/2011 2:19 PM, array chip wrote: > Hi, I read on a paper the below statement, don't know how that was > calculated. Basically, there are 2 continuous variables x1 and x2, as > independent variable for predicting cancer recurrence. So this is a survival > analysis. Now the author try to check the correlation between x1 and x2. He > calculated Spearman rand correlation (~0.22), then he had the following > statement: > > "Only approximately 5% of the variability in the estimates of recurrence > using either of these scores was explained by the other". > > How was that done? with a Cox model including both x1 and x2, can we get that > number (5%)? I would guess it is r^2 = .22^2 = 0.0484, and I suspect the claim is unfounded. Duncan Murdoch ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
