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(2017.10.17 15:30 N205)Prof. Aiyi Liu: A Two-Sample Cluster-adjusted Rank-based Test for Multiple Endpoints
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Update time: 2017-10-12
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Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:

Prof. Aiyi Liu, National Institute of Child Health and Human Development, National Institutes of Health

Inviter:  
Title:
A Two-Sample Cluster-adjusted Rank-based Test for Multiple Endpoints
Time & Venue:
2017.10.17 15:30-16:30 N205
Abstract:
Multiple endpoints are often naturally clustered based on their scienti c functions. Tests that compare these clustered outcomes between independent groups may lose eciency if the cluster structures are not properly accounted for. We propose a cluster-adjusted multivariate test procedure for the comparison and demonstrate its gain of eciency over a number of popular test procedures that ignore the clusters. Data from a dietary intervention trial and a case-control study on neural tube defects are used to exemplify the methods.
 

 

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