Missing data

Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships

Three-level data structures arising from repeated measures on individuals who are clustered within larger units are common in clinical and population health studies. An additional complexity arises when individuals move between clusters over the …

Evaluation of approaches for multiple imputation of three-level data

Multilevel data with three levels of hierarchy resulting from repeated measures data on individuals who are clustered within larger units, such as geographical region, are common in health research studies. Missing data, which is a pervasive problem …

PhD completion seminar: Evaluation of multiple imputation approaches for handling incomplete three-level data

**The event**:The completion seminar is an important milestone of PhD candidature where objectives, methods, findings and significance of the research conducted are presented in a public seminar with the aim of receiving constructive feedback from an …

An evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data

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 …

Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data

**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 …

3MT (Three-Minute Thesis)

The 3 Minute Thesis (3MT) is an exercise in developing academic and research communication skills by reducing complex research down to a brief, interesting and accessible presentation. Competitors are challenged to present a clear and concise, yet …

Evaluation of approaches for multiple imputation in three-level data structures

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 …

Multiple imputation in three-level data structures

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 …