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From | Maarten buis <maartenbuis@yahoo.co.uk> |
To | statalist@hsphsun2.harvard.edu |
Subject | RE: st: cox model with shared frailty |
Date | Thu, 22 Apr 2010 04:48:45 -0700 (PDT) |
--- On Thu, 22/4/10, Tracy Clegg wrote: > If I run the model on a small sample and say end up with > a model that includes just 2 significant predictors out > of a possible 5, would I just check the final model with > the 2 predictors on the full dataset or do I need to go > through the model building process again? I just wouldn't drop variables from the model. If I thought it was a good idea to include in my initial model, then it is also a good idea to show that that variable happened to be non-significant and you can't do that if you leave it out. The reason why I want to run my model on a sample of the data is to look if I made some errors. -- Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/