Angelina Hammon, Sabine Zinn, Multiple imputation of binary multilevel missing not at random data, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 69, No. 3 (2020), pp.

Missing Data Analysis and Multiple Imputation Methods Publication Trend The graph below shows the total number of publications each year in Missing Data Analysis and Multiple Imputation Methods.

Software for multiple imputation still struggles with the largest and most complicated data sets. But new multiple-imputation software that uses machine learning has been able to impute more ...

While electronic health records present a rich and promising data source for observational research, they are highly susceptible to missing data. For settings like these, Seaman et al. (Biometrics 68 ...