I have the OR of a logistic regresion that used the independent variable as continuous. I also have the ORs of 2x2 tables that dichotomized the variable (high if >0.1, low if < 0.1).
Is there anyway i can merge them for a meta-analysis. i.e. can the OR of the regression (OR for 1 unit increase) be converted to OR for High vs Low?
You could, but why would you convert a continuous predictor into a discrete/ binary one? You're losing a lot of information by doing so.
i would like to meta-analyze them with OR from dichotomous variable (2x2 tables).
are you aware of any form or reference to do this?
thanks
Hello Santiago Ferriere Steinert. These two ORs are from different studies, right? How many ORs do you have in total? If I had only the two ORs you describe, I think I would just report them separately. If they were two ORs of a much larger number of ORs, and all but that one were from models that treated the X-variable as continuous, I might compare the OR from the 2x2 table to the pooled estimate of the OR from the other studies. But I think more information is needed. HTH.
Bruce Weaver
Indeed, i have OR from dichotomous studies (2x2 tables) for ~15 different studies (e.g. reported tables for survivor/non-survivor vs High/low serum troponin)
. I also have additionally 2 studies that only reported logistic regressions for the vary same variable , but in a continous manner (eg. OR for mortality per +1 ng/L in serum troponin).
Can i meta-analyze all together?
Are continuous-variable OR comparable, by any mathematical means, to dichotomous-variable OR (aka Marginal odds ratios)?