Selective Inference for Hierarchical Clustering

Classical tests for a difference in means control the Type I error rate when the groups are defined a priori. However, when the groups are instead defined via clustering, then applying a classical test yields an extremely inflated Type I error rate. Notably, this problem persists even if two separat...

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Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 119; no. 545; pp. 332 - 342
Main Authors:	Gao, Lucy L., Bien, Jacob, Witten, Daniela
Format:	Journal Article
Language:	English
Published:	United States Taylor & Francis 02.01.2024 Taylor & Francis Ltd
Subjects:	Americans Cluster analysis Clustering Data data collection Difference in means Errors Gene sequencing Hierarchies Hypothesis testing Inference Null hypothesis Post-selection inference sequence analysis Statistics testing Tests Type I error post-selection inference hypothesis testing difference in means type I error
ISSN:	0162-1459, 1537-274X, 1537-274X
Online Access:	Get full text
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