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From |
Nick Cox <njcoxstata@gmail.com> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Re: z-score diff plots |

Date |
Thu, 11 Apr 2013 15:55:41 +0100 |

Plotting difference against mean is a standard plot for many people. It is a relative of the principle that it is helpful to plot residual against fitted. Plotting some difference against a third variable might similarly be useful. It is a bit like the standard practice of plotting residuals from some model against a predictor not in the model. The question is does it work, that is, can you see a pattern? There are some general references in SJ-4-3 gr0005 . . . . . Speaking Stata: Graphing agreement and disagreement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox Q3/04 SJ 4(3):329--349 (no commands) how to select the right graph to portray comparison or assessment of agreement or disagreement between data measured on identical scales .pdf accessible via http://www.stata-journal.com/article.html?article=gr0005 Nick njcoxstata@gmail.com On 11 April 2013 15:24, Nikos Kakouros <nkakouros@gmail.com> wrote: > Thanks, Joseph. > I was hoping to have a single graph demonstrating the interaction > between the three variables. > I wonder what anyone thought of the proposed idea of plotting the > z-score difference between the two tests against the interacting > variable... > KR > Nikos > > On Wed, Apr 10, 2013 at 10:40 PM, Joseph Coveney <stajc2@gmail.com> wrote: >> Nikos Kakouros wrote: >> >> I'd like to first apologize upfront for the lack of specificity in my >> question - please be sensitive to my lack of experience with Stata. :) >> >> I have two tests that are meant to measure the same thing (blood >> thickness) but with totally different units. On the whole they >> correlate well (patients with thick blood have higher values on both >> measurements), but the first test is affected (on univariate analysis) >> by another blood parameter but the second test is not. Their >> correlation is, therefore, dependent on the third parameter. >> >> I would appreciate on comments/advice on how to best visually show >> this relationship in Stata. I was thinking the following: convert all >> measurements to z-scores and depict the difference in z-score for the >> two measurements at different values (y axis) vs the value of the >> third variable that affects one of the tests more than the other >> (x-axis). >> >> Is anyone familiar with such a visualization? >> >> -------------------------------------------------------------------------------- >> >> I'm not familiar with it. Would a scatterplot matrix (SPLOM) help? >> (See -help graph matrix-.) >> >> Joseph Coveney >> >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/faqs/resources/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/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Re: z-score diff plots***From:*Nikos Kakouros <nkakouros@gmail.com>

**References**:**st: z-score diff plots***From:*Nikos Kakouros <nkakouros@gmail.com>

**st: Re: z-score diff plots***From:*"Joseph Coveney" <stajc2@gmail.com>

**Re: st: Re: z-score diff plots***From:*Nikos Kakouros <nkakouros@gmail.com>

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