SUGI 26: A SAS/IML(r) Macro for Goodness-of-Fit Testing in Logistic ...
SUGI 26: A SAS/IML(r) Macro for Goodness-of-Fit Testing in Logistic ...
SUGI 26: A SAS/IML(r) Macro for Goodness-of-Fit Testing in Logistic ...
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Statistics, Data Analysis, and Data M<strong>in</strong><strong>in</strong>gOsius, G. and Rojek, D. (1992), “Normal <strong>Goodness</strong>-<strong>of</strong>-<strong>Fit</strong> Tests<strong>for</strong> Mult<strong>in</strong>omial Models With Large Degrees <strong>of</strong> Freedom,” Journal<strong>of</strong> the American Statistical Association, 87, 1145-1152.<strong>SAS</strong> Institute Inc. (1988), <strong>SAS</strong>/<strong>IML</strong> Users’s Guide, Release6.03 Edition, Cary, NC: <strong>SAS</strong> Institute Inc.So, Y. (1993), “A Tutorial on <strong>Logistic</strong> Regression,” Proceed<strong>in</strong>gs <strong>of</strong>the Eighteenth Annual <strong>SAS</strong> Users Group InternationalConference, 18, 1290-1295.White, H. (1982), “Maximum Likelihood Estimation <strong>of</strong>Misspecified Models,” Econometrica, 50, 1-25.CONTACT INFORMATIONThe %GOFLOGIT macro is available on request from the author.Contact him at:Oliver KussInstitute <strong>of</strong> Medical Epidemiology, Biometry and In<strong>for</strong>matics06097 Halle/Saale, GermanyPhone: +49-345-5573582Fax: +49-345-5573580Email:Oliver.Kuss@mediz<strong>in</strong>.uni-halle.deWWW: http://imebmi.mediz<strong>in</strong>.uni-halle.de/5
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