Influence Analysis in Linear Regression with Sampling Weights

This paper is concerned with the identification of influential observations when we analyze survey data using a linear regression estimator involving survey weights. Based on conventional OLS diagnostic approaches, adapted statistics are proposed and justified to deal with the sampling weights in survey data. Using a sample from NHANES data, a comparison will be made between the diagnostics with and without sampling weights for some types of diagnostic statistics.