Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data

The difference between two binomial proportions is commonly used in applied research. Since many studies encounter incomplete data, proper methods to analyze such data are needed. Here, we present a multiple imputation (MI) procedure for constructing confidence interval using Newcombe’s method, which known have better coverage probability when compared with Wald’s method. We use both conventional MI ignorable missingness and two-stage non-ignorable missingness. Using simulation studies, compare our method three other provide recommendation the of practice. In addition, show application new on COVID-19 dataset.