Title: Dropouts in Longitudinal Studies: Methods of Analysis
Abstract: Abstract The statistical analysis of repeated‐measures data when some participants drop out prior to the end of the study has been reviewed. Methods considered include complete‐case analysis, where only the cases that are followed to the end of the study, are analyzed; imputation methods that fill in values after drop out, and multiple imputation, a refinement that accounts for imputation uncertainty; and methods that can be applied to the nonrectangular data set that arises from the missing data, including maximum likelihood for linear and nonlinear mixed models. Methods of analysis when the missing data are not missing at random are also reviewed.
Publication Year: 2005
Publication Date: 2005-04-15
Language: en
Type: other
Indexed In: ['crossref']
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