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Now it might sound odd, that we would also need to control for genetic confounders while studying genetics.
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Odds Ratio were adjusted for non genetic confounders: age, gender and smoking status.
Our basic specification is first estimated using Ordinary Least Squares to control for observable confounders.
Observational studies should adequately control for relevant confounders (eg, baseline comorbidities) and assess effect modification in the analysis.
Studies vary in the number of subjects, cohort characteristics, measurement of exposure and control for potential confounders.
Further, because this was an observational study, we were unable to control for unknown confounders.
The remaining studies used multivariable methods to control for potential confounders associated with the outcomes.
Control for potential confounders is particularly important.
All analyses will control for potential confounders.
These findings were robust to control for potential confounders.
All studies used regression analysis to control for potential confounders.
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