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st: RE: RE: adjusting variables in metanalysis
From
Vasan Kandaswamy <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: RE: RE: adjusting variables in metanalysis
Date
Thu, 21 Feb 2013 08:52:35 +0000
Thank you Sven.
I think it appears logical to try meta regression in my case. Thanks for bringing up the issue of ecological fallacy/bias. I will look into it carefully.
Best,
Vasan
________________________________________
From: [email protected] [[email protected]] on behalf of Trelle Sven [[email protected]]
Sent: Wednesday, February 20, 2013 11:44 AM
To: [email protected]
Subject: st: RE: adjusting variables in metanalysis
---
Vasan Kandaswamy asked:
"Dear all,
I have more of a statistical question and any help would be very useful. In the meta-analysis that I am currently working on, I am investigating the effect of a genetic variant with diabetes risk. We have used abstracted data from published studies and do not have access to raw data sets. Therefore, I have the OR (95%CI) for disease risk for 10 studies. Now I would like to adjust the already calculated OR for a variable such as BMI ( individual mean BMI is available for all studies). Is there a possibility to do this. I hope I have made my question clear. Suggestions would be of great help.
Best,
Vasan"
---
[ST] I am not sure what you mean by "adjusting" in this context but you can investigate the effect of BMI on the effect estimate i.e. the odds ratio (interaction) by using meta-regression (ssc install metareg). Note however, if you have only study level data (in your case mean BMI) this is prone to ecological fallacy/bias (e.g. Berlin JA, Santanna J, Schmid CH, Szczech LA, Feldman HI. Individual patient- versus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head. Stat Med 2002; 21: 371-87.).
[ST] Best
[ST] Sven Trelle
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