It has been suggested that there may be little benefit to imputing data for individuals who lack outcome data as their inclusion in one’s regression model may add nothing but noise [27]. To address this as far as possible we included auxiliary variables strongly related to the outcome (as described above), and we paid close attention to the Monte Carlo error associated with both regression parameters and their standard errors.
