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 Hello, I am currently analysed two nested models using the same sample. Both the simpler model (Model 1 ~ x1 + x2) and the more complex model (Model 2 ~ x1 + x2 + x3 + x4) yield the same adjusted R-square. Yet the p-value associated with the deviance statistic is highly significant (p=0.0047), suggesting that the confounders (x3 and x4) account for the prediction of the dependent variable. Does anyone have an explanation of this strange paradox? Thank you for any suggestion. Anne ______________________________________________ [hidden email] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.
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 This list is about R programming. Statistics questions, which this is, are generally off topic here. Try posting on a statistics list like stats.stackexchange.com instead. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Oct 5, 2018 at 1:48 AM CHATTON Anne via R-help <[hidden email]> wrote: > Hello, > > I am currently analysed two nested models using the same sample. Both the > simpler model (Model 1 ~ x1 + x2) and the more complex model (Model 2 ~ x1 > + x2 + x3 + x4) yield the same adjusted R-square. Yet the p-value > associated with the deviance statistic is highly significant (p=0.0047), > suggesting that the confounders (x3 and x4) account for the prediction of > the dependent variable. > > Does anyone have an explanation of this strange paradox? > > Thank you for any suggestion. > > Anne > > ______________________________________________ > [hidden email] mailing list -- To UNSUBSCRIBE and more, see > 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. >         [[alternative HTML version deleted]] ______________________________________________ [hidden email] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.