Thanks a lot David, I must have missed this sentence.
Best regards,
Sebastian
Am 20.06.2012 21:05, schrieb David Winsemius:
On Jun 20, 2012, at 12:12 PM, Sebastian Pölsterl wrote:
Hi,
I'm using the rms package to do regression analysis using the lrm
function. Retrieving odds ratios is
On Jun 20, 2012, at 21:05 , David Winsemius wrote:
On Jun 20, 2012, at 12:12 PM, Sebastian Pölsterl wrote:
Hi,
I'm using the rms package to do regression analysis using the lrm
function. Retrieving odds ratios is possible using summary.rms. However,
I could not find any information on
Peter- for summary.rms, high and low columns are supposed to be the
quartiles. Perhaps Sebastian, the original poster, could run age through
the ordinary summary function or the describe function and show us the
result.
Frank
Peter Dalgaard-2 wrote
On Jun 20, 2012, at 21:05 , David Winsemius
Hi,
I'm using the rms package to do regression analysis using the lrm
function. Retrieving odds ratios is possible using summary.rms. However,
I could not find any information on how exactly the odds ratios for
continuous variables are calculated. It doesn't appear to be the odds
ratio at 1 unit
On Jun 20, 2012, at 12:12 PM, Sebastian Pölsterl wrote:
Hi,
I'm using the rms package to do regression analysis using the lrm
function. Retrieving odds ratios is possible using summary.rms.
However,
I could not find any information on how exactly the odds ratios for
continuous variables
The explanation is in the first paragraph of the help file for the
summary.rms function [inter-quartile-range odds ratios, which handles
nonlinearities]. Note that you are assuming that age has a linear effect,
which is counterintuitive.
Frank
Sebastian Pölsterl wrote
Hi,
I'm using the rms
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