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Re: Multi level odds ratio - help

Posted by Maguin, Eugene on Jun 18, 2020; 1:27pm
URL: http://spssx-discussion.165.s1.nabble.com/Multi-level-odds-ratio-help-tp5739221p5739222.html

Second question: If you have access to data for the second protein and the methods and variables of the second study are judged to be same/similar enough to the data for the first protein, why not combine the data sets and analyze both. But if not, and you have the standard error of the coefficients from the second study and the level 1 model variable set is the same as for your data model,  why couldn't you construct a 95% or 99% confidence interval for corresponding variables in each study and see if they overlap.

First question: since you're using a multilevel model, you must have some variables to predict variance in the level 1 intercepts. If you are interested in the odds ratios for the level 1 coefficients, why wouldn't you just exponentiate the coefficients, that same as you would do for a logistic regression?

Gene Maguin


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of meatduck
Sent: Thursday, June 18, 2020 8:05 AM
To: [hidden email]
Subject: Multi level odds ratio - help

Hi,

I'm a newbie when it comes to SPSS and Statistics, and in need of some help.

I would like to know how to calculate a multi level factor odds ratio in SPSS, for an outcome (0 vs 1 : no disease vs disease) according to X protein serum levels (normal, borderline, high). And also if there's anyway to compare these odds ratio to another Y and Z protein.

Thanks in advance,
Carlos



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