4 messages · jjh, Tal Galili, David Winsemius
Hello- Is it possible to estimate standard errors for a multiple regression model using a randomization test approach? I have seen a lot on using the procedure to get a test statistic, but nothing that talks about getting actual standard errors. Is this possible? How might I do this in R? Thank you.
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Standard errors for the coefficients. Thanks!
Hi jjh, I wasn't able to understand: for what statistic do you want the standard error for? (The coefficients, the R^2 ?) Tal ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili at gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com/ (English) ---------------------------------------------------------------------------------------------- On Fri, Jan 8, 2010 at 1:45 PM, jjh <jjharden at gmail.com> wrote:
Hello- Is it possible to estimate standard errors for a multiple regression model using a randomization test approach? I have seen a lot on using the procedure to get a test statistic, but nothing that talks about getting actual standard errors. Is this possible? How might I do this in R? Thank you. -- View this message in context: http://n4.nabble.com/Standard-errors-from-a-randomization-test-tp1009613p1009613.html Sent from the R help mailing list archive at Nabble.com.
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Hello- Is it possible to estimate standard errors for a multiple regression model using a randomization test approach? I have seen a lot on using the procedure to get a test statistic, but nothing that talks about getting actual standard errors. Is this possible? How might I do this in R?
Maybe you should be looking at bootstrap methods? David Winsemius, MD Heritage Laboratories West Hartford, CT