Anne Stephenson wrote:
> Hi.
>
> I am using MI to deal with missing data. My dataset contains longitudinal
> data over a 10 yr period (not all subjects are followed for the full 10 years
> however). In the data model stage, I am wondering if I should include the
> subject ID as a sample design variable to denote "clustering" of the data
> within subjects (ie. repeated measures on individuals). Is this appropriate?
>
> Thanks for any input.
> Anne
Depending on the missing data mechanism it may be better to not think of
this as an imputation problem but as a 'use all available information'
problem, and use full model-based approaches such as generalized least
squares or mixed effect models.
Frank
>
> Anne Stephenson MD, FRCPC
> Divison of Respirology
> St. Michael's Hospital
> 30 Bond Street, Room 6-040
> Toronto, Ontario
> M5B 1W8
>
> Tel: 416-864-6060 x 4103
> Fax: 416-864-5651
>
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
