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From | Nick Cox <njcoxstata@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Quick question of using -concord- to investigate proportional errors |
Date | Thu, 19 Jan 2012 10:34:52 +0000 |
You have been posting to the list since October. See my reply to you last Saturday spelling out the longstanding and often repeated request to explain where user-written programs come from. http://www.stata.com/statalist/archive/2012-01/msg00517.html In this case -concord- is a program last updated in SJ 10(4). -concord- is a small toolkit for thinking quantitatively about the structure of agreement or disagreement between two continuous measures. Homing in on significance test results misses most of what -concord- can tell you. You only cite part of your results but they show only weak agreement between your measures: the concordance correlation will be about .262. The low P-value of 0.002 just says that the concordance correlation is definitely not zero; that is a conventional test for those who need it, but is unlikely to be an answer to the underlying scientific question. Your results also show a correlation between difference and mean that is a bit high. So there is a lot of scatter in your data and the error structure is only roughly multiplicative; there's some extra structure on top of that. Most of what is written on -concord- is freely available in the STB and SJ archives, so I won't repeat explanations already given. Nick On Thu, Jan 19, 2012 at 12:29 AM, cecilia sam <samcecilia2010@gmail.com> wrote: > I am new to statistics and Stata, and need help for using -concord- in > Stata 11.0 for Windows. > > I am comparing two datasets derived from 2 different methods. I > natural log transformed both datasets on the original scale, and typed > -concord y x, loa(regline)-. The output provides the slope of the > regression line, and a p-value listed besides the Pearson r (I > attached a part of the Stata output and attached below). Is this the > p-value that indicate the signficance of the slope of the regression > line? In this case, does the p-value <0.05 mean that there are > statitically signficant proportional errors ? > > > Pearson's r = 0.271 Pr(r = 0) = 0.002 C_b = rho_c/r = 0.966 > > Reduced major axis: Slope = 1.301 Intercept = -2.727 > > Difference = y - x > > Difference 95% Limits Of Agreement > > Average Std Dev. (Bland & Altman, 1986) > > --------------------------------------------------------------- > > 0.010 0.333 -0.643 0.663 > > Correlation between difference and mean = 0.266 > * * 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/