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From | "DeMichele, Matthew" <mdemichele@rti.org> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: multicollinearity stcox |
Date | Thu, 6 Mar 2014 15:46:38 -0500 |
Dear Statalist: Looking for a bit of guidance regarding multicollinearity protocols following stcox. I am running analyses on three split samples of 10,002 (50%, 25%, and 25%) and don't see major problems with t-tests and f-tests within the overall models. But, I do have variables that have correlations in the region of .69 to .73. I've seen some suggestion that up to r=.8 is acceptable. This seems a bit high to me. So, following the stcox I've run collin with IVs. Here, I am using VIF of less than 10 (which they're nowhere close ) and tolerance of <.4 (which there are some in the .35 region). The condition numbers are in the 12-19 range (with the 19 being a bit high). I have two questions (assuming this is enough information for people to answer): 1. Do my assumptions mentioned above sound reasonable related to identifying multicollinearity? And, are there any suggestions about alternative cutoffs? 2. I've also calculated a correlation matrix of the coefficients (vce, corr). Are there suggested cutoffs? Thank you, Matthew * * 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/