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From | mikkelbrabrand <mikkel@brabrand.net> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Goodness of fit |
Date | Tue, 3 May 2011 05:02:58 -0700 (PDT) |
I have developed a risk scoring system that I'm trying to validate. It was originally developed in one cohort, and I am now validating it in a new, independent, cohort. However, I am unsure how to test for goodness-of-fit using Hosmer-Lemeshow's test. First question: When validating my score, is it not correct that I should use the observed mortality (my endpoint) from the development cohort to estimate the expected mortality in my validation cohort? Second question: When calculating the Chi-square between the observed and expected mortality, should my formula not be: (observed-expected)^2/ (expected*1-expected/N (in this stratum))? Third question: How many degrees of freedome should I use? When I read the book by Hosmer and Lemeshow (Applied logistic regression), in the section on validation in an external cohort, I understand that the number of groups equal the degrees of freedom, which in different from the ordinary method in which the degrees of freedom is groups-2. Is this correct? Thanks! Mikkel -- View this message in context: http://statalist.1588530.n2.nabble.com/Goodness-of-fit-tp6327041p6327041.html Sent from the Statalist mailing list archive at Nabble.com. * * 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/