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| From | Ronald McDowell <McDowell-R3@email.ulster.ac.uk> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | Re:Re:st:STATA and survey data |
| Date | Wed, 9 Feb 2011 09:57:15 +0000 |
Hi (James) I was wanting to clarify the following statement about testing model fit and survey data, as I am new to the area ------------------------------ Date: Wed, 2 Feb 2011 09:34:02 -0500 From: Steven Samuels <sjsamuels@gmail.com> Subject: Re: st: STATA and survey data >> The usual techniques of adding interactions and testing augmented against reduced models also apply. If I try the following (after svysetting the data) svy: logistic outcome varA estat stor A svy: logistic outcome varA varB estat stor B lrtest A B I get the message: lrtest is not appropriate with survey estimation results What would be the most appropriate method(s) to compare reduced and agumented models? I have a Number of categorical and interaction terms to consider. Thanks for your advice Ron ----------------------------------------- Ron McDowell Institute of Nursing Research University of Ulster, Coleraine McDowell-R3@email.ulster.ac.uk * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/