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st: RE: Incorporating sample design into logistic regression model


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Incorporating sample design into logistic regression model
Date   Wed, 16 Dec 2009 20:05:17 +0100

<>

Sure you are on the right list?


HTH
Martin

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Jamie Burnett
Sent: Mittwoch, 16. Dezember 2009 20:02
To: 'statalist@hsphsun2.harvard.edu'
Subject: st: Incorporating sample design into logistic regression model


Hi, I desperately need some help?


How do I go about using logistic regression in SPSS when I have Design
(sample) weights (due to unequal probabilities of selection in my survey)
and I want to take them into account when estimating the beta coefficients
of my model. According to R. Groves and M. Couper 'Nonresponse in Household
Interview Surveys' they talk about estimating the unknown parameters by
maximising the weighted log-likelihood.



Can this be done in SPSS either through simply weighting the data (through
Data>Weight cases) before running a binary logistic regression or do I need
to use the Advanced Generalised Linear Model add-on and include the sample
weight as a scale weight variable? Or do I need the add-on Complex Samples?



Any help greatly appreciated.



Many thanks

Jamie Burnett






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