I have an epidemiologic dataset and want to do a weighted logistic regression. I have a continuous exposure variable and I want to see if it is associated with a binary outcome. The accuracy of the exposure value is highly variable and I want the logistic regression to assign greater weight/importance to exposure values that are highly accurate, and lower weight to exposure values that are less accurate (there is a third variable which specifies the quality of the exposure value). Is the "weights" argument for the "glm" command appropriate for this? Thanks, Katie