Abstract
Two multiple imputation methods, the Sequential Regression Multivariate Imputation Algorithm and the Cox-Lannacchione Weighted Sequential Hotdeck, were examined and compared to impute highly missing categorical variables from the Family Life, Activity, Sun, Health and Eating (FLASHE) study. This paper describes the imputation approaches and results from the study.
DOI
10.22237/jmasm/1536146540
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
