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If multiple risk estimates were presented in a given manuscript, the unadjusted estimate was selected for the primary meta-analysis as some studies were adjusted for prominent confounding variables, such as family history and adiposity, while others were not, rendering a direct comparison of estimates to be questionable.
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In sociological speak, we might say there are confounding variables.
Similarly, most studies are plagued by confounding variables such as not observing the quality of hospital management.
"But when you are doing any sort of brain-imaging project what you have is all the other confounding variables" — such as age, gender, and head size.
…and to account for the many confounding variables that may invisibly affect the data.
Few studies controlled for confounding variables.
So, headache duration may be masked by other confounding variables.
T1 values are affected by confounding variables mentioned before.
For instance, potential confounding variables may include underlying cardiovascular risk.
However, there was no adjustment for confounding variables.
We indicate with (mathcal{C}) the set of confounding variables.
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