Well this starts veering towards fortune(194) and fortune(218). Though I did one time receive a response from an editor and reviewers asking for fewer p-values in favor of more confidence intervals. I was excited that someone was willing to move in that direction (unfortunately, that particular study was one for which the p-values were more meaningful than the confidence intervals).
I have successfully talked some researchers out of presenting p-values in favor of more meaningful presentations, though it is often harder than it should be (Had a stanza from "The Hunting of the Snark" posted on the wall for a while after one researcher finally gave in after the 3rd person told him the same thing). I am somewhat curious what the editor thinks the null and alternative hypotheses are, what the real null and alternative hypotheses are, and what the interpretation of a failure to reject will be (especially if there is low power). If you cannot come up with meaningful/compelling answers to the above questions, but the editor still insists on a p-value, then you can always use SnowsCorrectlySizedButOtherwiseUselessTestOfAnything (TeachingDemos package). Though that could prove the exception to Dieter's rule. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Boris New > Sent: Thursday, March 24, 2011 12:14 AM > To: Thomas Lumley > Cc: r-help@r-project.org; Brian S Cade; r-help-boun...@r-project.org > Subject: Re: [R] Comparing non nested models with correlation > coefficients (inspired from Lorch and Myers ) > > Thank you very much for your answers. > > The problem is that the editor wants a formal test. So I guess that the > Vuong test should be ok... > > 2011/3/24 Thomas Lumley <tlum...@uw.edu> > > > On Thu, Mar 24, 2011 at 8:26 AM, Brian S Cade <ca...@usgs.gov> wrote: > > > As a follow-up to Greg's suggested graphical presentation, it seems > like > > > the Vuong test is sometimes used to compare fits of non nested > models. > > > > > > > There is a nice practical example of this with code in R, by Cosma > > Shalizi and coworkers, at > > http://cscs.umich.edu/~crshalizi/weblog/491.html > > > > The application is the tendency of physicists and people who read > > Wired to see power law distributions everywhere, and Vuong's test is > > used to determine whether a power law fits better than a lognormal > > (which it typically doesn't). > > > > -thomas > > > > -- > > Thomas Lumley > > Professor of Biostatistics > > University of Auckland > > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ______________________________________________ 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.
