2 citations · 3 across the 7 of their papers we have counts for
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stat.ME2020
Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data
Rushani Wijesuriya, Margarita Moreno-Betancur, John B. Carlin +2
Three-level data structures arising from repeated measures on individuals clustered within larger units are common in health research studies. Missing data are prominent in such st…
stat.ME2020
Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework
Katherine J Lee, Kate Tilling, Rosie P Cornish +5
Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, parti…