Article ; Online: Cluster analysis for repeated data with dropout: Sensitivity analysis using a distal event.
Journal of biopharmaceutical statistics
2018 Volume 28, Issue 5, Page(s) 983–1004
Abstract: Degeneration of the aortic wall becomes life-threatening when the risk of rupture increases. Cluster analysis on repeated measures of the diameter of the artery revealed two subgroups of patients included in a surveillance program. These results were ... ...
Abstract | Degeneration of the aortic wall becomes life-threatening when the risk of rupture increases. Cluster analysis on repeated measures of the diameter of the artery revealed two subgroups of patients included in a surveillance program. These results were obtained under the assumption of missingness at random. In this article, we study the vulnerability of the cluster analysis results - the estimated trajectories and the posterior membership probabilities - by applying different missing-data models for non-ignorable dropout, as proposed by Muthen et al. (2011) to the growth of the diameter of the artery. |
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MeSH term(s) | Aorta/diagnostic imaging ; Cluster Analysis ; Data Interpretation, Statistical ; Humans ; Longitudinal Studies ; Patient Dropouts/statistics & numerical data ; Population Surveillance/methods |
Language | English |
Publishing date | 2018-01-29 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1131763-2 |
ISSN | 1520-5711 ; 1054-3406 |
ISSN (online) | 1520-5711 |
ISSN | 1054-3406 |
DOI | 10.1080/10543406.2018.1428612 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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