Thank you Roger. I would like to use -somersd-, but I keep getting an error. What am I doing wrong?
Here using the cancer data.
. which somersd
c:\ado\stbplus\s\somersd.ado
*! Author: Roger Newson
*! Date: 04 August 2008
. sysuse cancer
(Patient Survival in Drug Trial)
. somersd died age , cluster( drug )
tidotforsomersd(): 3499 tidottree() not found
<istmt>: - function returned error
r(3499);
Thank you,
Ricardo
Ricardo Ovaldia, MS
Statistician
Oklahoma City, OK
--- On Thu, 4/9/09, Newson, Roger B <[email protected]> wrote:
> From: Newson, Roger B <[email protected]>
> Subject: RE: st: adjusted Mann-Whitney/Wilcoxon test
> To: "'[email protected]'" <[email protected]>
> Date: Thursday, April 9, 2009, 3:39 PM
> As David said, the -somersd- package, downloadable from SSC,
> can estimate stratified versions of rank parameters. The
> user has a choice of parameters, which may be Kendall's
> tau-a, Somers' D, or a Theil-Sen median slope. All of
> these parameters are available in stratified versions,
> restricted to comparisons within strata defined by a
> categorical variable. And the -somersd- package has 3 .pdf
> manuals, which the user can download with the package, in
> which the methods and formulas are explained.
>
> I hope this helps.
>
> Best wishes
>
> Roger
>
>
> Roger B Newson BSc MSc DPhil
> Lecturer in Medical Statistics
> Respiratory Epidemiology and Public Health Group
> National Heart and Lung Institute
> Imperial College London
> Royal Brompton Campus
> Room 33, Emmanuel Kaye Building
> 1B Manresa Road
> London SW3 6LR
> UNITED KINGDOM
> Tel: +44 (0)20 7352 8121 ext 3381
> Fax: +44 (0)20 7351 8322
> Email: [email protected]
> Web page: http://www.imperial.ac.uk/nhli/r.newson/
> Departmental Web page:
> http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/
>
> Opinions expressed are those of the author, not of the
> institution.
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of
> David Airey
> Sent: 09 April 2009 18:23
> To: [email protected]
> Subject: Re: st: adjusted Mann-Whitney/Wilcoxon test
>
> To me, stratified generally means controlling for a
> non-continuous
> covariate.
>
> -Somersd- provides rank-based statistics for group
> comparisons
> allowing for strata.
>
> -Dave
>
> On Apr 9, 2009, at 10:45 AM, Constantine Daskalakis wrote:
>
> > I have the same question as Ricardo.
> >
> > By stratified, we mean controlling for another
> covariate:
> >
> > Wilcoxon of Y by X, controlling for Z
> >
> > StatXact does this stratified Wilcoxon.
> >
> >
> > David, the parallel is Mantel-Haenszel for dichotomous
> outcome.
> >
> > So, the command would look something like this:
> >
> > ranksum y x, by(z)
> >
> > or
> >
> > ranksum y, by(x) strata(z)
> >
> >
> > On 4/9/2009 10:44 AM, David Airey wrote:
> >> .
> >> If ttest generalizes to regress, then ranksum
> generalizes to what?
> >> There is a lot of literature on ranksum tests with
> clustered data
> >> if that's what you mean. Maybe you can define
> your data more
> >> precisely...
> >> On Apr 9, 2009, at 8:44 AM, Ricardo Ovaldia wrote:
> >>>
> >>> Dear all,
> >>>
> >>> Is there a way to adjust the -ranksum- test
> for covariates? Or is
> >>> there another way to do an adjusted
> Mann-Whitney U test? Something
> >>> similar to relationsip between ttest and
> regress.
> >>>
> >>> Thank you,
> >>> Ricardo.
> >>>
> >>> Ricardo Ovaldia, MS
> >>> Statistician
> >>> Oklahoma City, OK
> >
> >
> >
> > --
> >
> >
> > The documents accompanying this transmission may
> contain confidential
> > health or business information. This information is
> intended for the
> > use of the individual or entity named above. If you
> have received
> > this information in error, please notify the sender
> immediately and
> > arrange for the return or destruction of these
> documents.
> >
> > Constantine Daskalakis, ScD
> > Associate Professor,
> > Thomas Jefferson University, Division of Biostatistics
> > 1015 Chestnut St., Suite M100, Philadelphia, PA
> 19107
> > Tel: 215-955-5695
> > Fax: 215-503-3804
> > Email: [email protected]
> > Webpage:
> http://www.jefferson.edu/clinpharm/biostatistics/
> >
> > *
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