An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout

In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared Parameter (SP). In this paper we estimate the paramet...

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Bibliographic Details
Main Authors: Amal Almohisen, Robin Henderson, Arwa M. Alshingiti
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2019/1019303
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