you say you asked elsewhere, but so many hits come up when I just search for "unbalanced sample size" your justification for not following the posting guide does not seem honest.
I also recall that various discussions of statistical power address this in basic statistics. On August 24, 2024 11:05:12 AM PDT, Christofer Bogaso <bogaso.christo...@gmail.com> wrote: >Hi, > >I have asked this question elsewhere however failed to get any >response, so hoping to get some insight from experts and statisticians >here. > >Let say we are fitting a regression equation where one explanatory >variable is categorical with 2 categories. However in the sample, one >category has 95% of values but other category has just 5%. Means, the >categories are highly unbalanced. > >Typically SE of estimate may be inflated for such highly unbalanced >categorical explanatory variable. > >Such unbalanced case may come from 2 scenarios 1) there is a flaw in >sample or it is just by chance that second category has just 5% values >in the sample or 2) in the population itself, the second category has >very small number of occurrences which is reflected in the sample. > >My question how the SE would be impacted in above 2 cases? Will the >impact be same i.e. we would get incorrect estimate of SE in both >cases? If yes, is there any way to prove analytically or may be based >on simulation? > >My apologies as this question is not directly R related. However I >just wanted to get some insight on above problem related to Statistics >from some of the great Statisticians in this forum. > >Thanks for your time. > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide https://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. -- Sent from my phone. Please excuse my brevity. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
