[R] a question

array chip arrayprofile at yahoo.com
Fri Aug 5 20:34:56 CEST 2011


Nice guess Duncan! Otherwise, I can't think of other ways to get that number.

Thanks


John



----- Original Message -----
From: Duncan Murdoch <murdoch.duncan at gmail.com>
To: array chip <arrayprofile at yahoo.com>
Cc: r-help <r-help at 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



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