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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
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Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2019/1019303 |
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