Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Roger Newson <r.newson@imperial.ac.uk> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: Comparing two different Correlation Coefficents |
Date | Mon, 21 Feb 2011 15:30:22 +0000 |
somersd z x y, taua transf(z) tdist lincom (x-y)/2The -somersd- package is distributed with a suite of .pdf manuals, which explain the methods in more detail. The on-line help contains references for Stata Journal articles, which can be downloaded from the Stata Journal website at
http://www.stata-journal.com/archives.html 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: r.newson@imperial.ac.uk 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. On 21/02/2011 15:08, Rilke Rainer Michael wrote:
Dear Stata-List, does anyone know how I compare to correlation coefficients (spearman) from one sample? The thing is, that I would like to measure the relationship between lets say x and z and y and z. After that I would like to test whether this relationship between both differs significantly. Another way to do this might be, to ran two similar regression models (reg x z and reg y z) and compare the two b[z] of both models. Does anyone know how to do this in Stata? Kind Regards, Rainer * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/
* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/