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JM posted on Sunday, January 08, 2012 - 1:19 pm
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Hi, in our sample, we found some differences between those subjects that enrolled in the study and those that were invited to enroll but did not. Specifically, the site we recruited them from (worse in public hospital), their gender (more females took part), and their ethnicity (less hispanic/latino enrolled). How to I weight my parallel-process LGM to account for these issues? What is the code and how do I actually create a weighted variable? I've never had to weight before so I'm lost as to how to specify this in both the data set and in the syntax. Thank you! |
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See the papers under Non-Compliance Modeling on the website. |
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