The Missing Data, Imputation and Analysis (MiDIA) Group meets 4 times a year, to discuss work in progress in the area of missing data methodology. Its members come from LSHTM, University of Bristol, Murdoch Childrens Research Institute, MRC CTU and …
**Background**: Three-level data structures arising from repeated measures on individuals who are clustered within larger units are common in health research studies. Missing data are prominent in such studies and are often handled via multiple …
Multilevel data with three levels of hierarchy are common in health research studies, for example when there are repeated measures (longitudinal) data from individuals who are further clustered within larger units. A common problem in such studies is …
Multilevel data with three levels of hierarchy are common in health research studies. A common problem in such studies is the presence of missing data and often handled with multiple Imputation (MI). To our knowledge there are only two MI …