Bag of little bootstraps for massive and distributed longitudinal data

Linear mixed models are widely used for analyzing longitudinal datasets, and the inference for variance component parameters relies on the bootstrap method. However, health systems and technology companies routinely generate massive longitudinal datasets that make the traditional bootstrap method in...

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Veröffentlicht in:	Statistical analysis and data mining Jg. 15; H. 3; S. 314 - 321
Hauptverfasser:	Zhou, Xinkai, Zhou, Jin J., Zhou, Hua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.06.2022 Wiley Subscription Services, Inc
Schlagworte:	bags of little bootstraps big data Data analysis Datasets EMR linear mixed models longitudinal data parallel and distributed computing Personal computers Statistical analysis Statistical inference Statistical methods Variance parallel and distributed computing EMR linear mixed models big data bags of little bootstraps longitudinal data
ISSN:	1932-1864, 1932-1872
Online-Zugang:	Volltext
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