177 citations · 177 across the 3 of their papers we have counts for
3 papers
Multiple imputation for longitudinal data: A tutorial
Rushani Wijesuriya, Margarita Moreno-Betancur, John B Carlin +3
Longitudinal studies are frequently used in medical research and involve collecting repeated measures on individuals over time. Observations from the same individual are invariably…
Multiple imputation for logistic regression models: incorporating an interaction
Matthew J. Smith, Matteo Quartagno, Edmund Njeru Njagi
Background: Multiple imputation is often used to reduce bias and gain efficiency when there is missing data. The most appropriate imputation method depends on the model the analyst…
Multiple imputation for multilevel data with continuous and binary variables
Vincent Audigier, Ian R. White, Shahab Jolani +5
We present and compare multiple imputation methods for multilevel continuous and binary data where variables are systematically and sporadically missing. The methods are compared f…