In my data, I know that age and sex are confounders so I accounted for them using a linear regression.
Model<- lm(metabolite~Age+Sex)
Please how do I get the adjusted values for the metabolite for further analysis.
What do you mean by "adjusted values?" Do you want the residuals from the regression?
No, I meant after accounting for Age and sex, the results of the adjusted values of the metabolite for further analysis like t test and so on.
"Adjusted values" might mean many things. Can you define for us exactly what you're looking for?
I consulted a statistician and it has been confirmed that I can use the residual values for further analysis. Thanks.
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