Bootstrap inference for multiple imputation under uncongeniality and misspecification
Bootstrap inference for multiple imputation under uncongeniality and misspecification is a scholarly work by Jonathan Bartlett and Rachael Hughes, published in 2020 in ''Statistical Methods in Medical Research''. The main subjects of the publication include regularization, econometrics, imputation, data mining, frequentist inference, computer science, clinical trial, confidence interval, statistics, missing data, statistical inference, inference, and bootstrapping. The authors examine a number of recent proposals which combine bootstrapping with multiple imputation and determine which are valid under uncongeniality and model misspecification.