Use a smaller alpha value rather than 0.05. C
On Thu, Aug 14, 2008 at 10:14 AM, Mark Home <[EMAIL PROTECTED]> wrote: > Dear All: > > I have a clinical study where I would like to compare the demographic > information for 2 samples in a study. The demographics include both > categorical and continuous variables. I would like to be able to say whether > the demographics are significantly different or not. > > The majority of papers that I have read use multiple techniques to achieve > this (e.g., t-test for the continuous variables and either Fischer exact or > Chi-square for categorical). I wonder whether this might lead to spurious > differences due to multiple significance tests. Is there a better way to do > this? > > Thanks in advance for your advice, > > Mark > > [[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. > -- CH Chan Research Assistant - KWH http://www.macgrass.com ______________________________________________ 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.
