An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout
Joint Authors
Almohisen, Amal
Henderson, Robin
Alshingiti, Arwa M.
Source
Journal of Probability and Statistics
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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 parameters of the longitudinal model for simulated data and real data using the Linear Mixed Effect (LME) method.
We investigate the consequences of misspecifying the missingness mechanism by deriving the so-called least false values.
These are the values the parameter estimates converge to, when the assumptions may be wrong.
The knowledge of the least false values allows us to conduct a sensitivity analysis, which is illustrated.
This method provides an alternative to a local misspecification sensitivity procedure, which has been developed for likelihood-based analysis.
We compare the results obtained by the method proposed with the results found by using the local misspecification method.
We apply the local misspecification and least false methods to estimate the bias and sensitivity of parameter estimates for a clinical trial example.
American Psychological Association (APA)
Almohisen, Amal& Henderson, Robin& Alshingiti, Arwa M.. 2019. An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout. Journal of Probability and Statistics،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1186843
Modern Language Association (MLA)
Almohisen, Amal…[et al.]. An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout. Journal of Probability and Statistics No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1186843
American Medical Association (AMA)
Almohisen, Amal& Henderson, Robin& Alshingiti, Arwa M.. An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout. Journal of Probability and Statistics. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1186843
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186843