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The multiple regression controlled for common confounding variables.
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As in this study it is important to be able to adjust for some common confounding variables such as age and deprivation.
In order to exclude most common confounding variables, we tested for the differences in age, body weight, height, BMI and smoking status.
Through these efforts, common confounding variables in tinnitus research have been identified, and solutions to these problems have been suggested.
One common confounding variable of past studies has been the inclusion of children with a history of recurrent wheezing.
Non-adjustment for major confounding variables was the most common source of bias affecting 75% of studies.
12. Did the paper control for confounding variables, for example, population heterogeneity/interventional heterogeneity? 13.
The relative odds did not change after adjustment for multiple confounding variables.
Multivariate logistic regression analysis was used to adjust for selected confounding variables.
We used Poisson regression with robust error variance41 to assess the association between metformin use and severe dengue manifestations, adjusting for potential confounding variables.
Nonetheless, these differences remained significant after multivariate analysis for possible confounding variables.
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