Are there statistical outliers that will be resolved through weighting?
Outliers are not “resolved” through weighting unless the weighting specifications call for trimming adjustments based on values of the outcome variable. As NHANES is a multi- purpose survey, a trimming adjustment for one variable may not be appropriate for other variables. As with any NHANES dataset, there will be influential data values and influential sample weights. You can run a cross-tab, or generate a scatter diagram to identify any observations that have BOTH a large weight and a large value. If you, as the analyst, feel that such observations are overly influential, you can delete, trim, or otherwise adjust. In the imputation model, influential observations were examined carefully, but none were removed from the model fitting exercise. The imputed values also were examined; some of the outer percentile points in the dataset are imputed values because either the average imputed value was large as predicted by the model or both the average value and the imputation variance were l
