The Division of Biostatistics at the Department of Preventive Medicine invites you to attend the following seminar.
Time: 03/08 Monday 2pm
ZOOM Virtual Room Connection:
Register in advance for this meeting:
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Speaker: Dr. Cen Wu (Kansas State University)
Title: “Sparse group variable selection for gene–environment interactions in the longitudinal study”
Abstract: Regularized variable selection for high dimensional longitudinal data has received much attention as accounting for the correlation among repeated measurements can provide additional and essential information for improved identification and prediction performance. Despite the success, in longitudinal studies, the potential of regularization methods is far from fully understood for accommodating structured sparsity. In this work, we have developed a sparse group penalization method to conduct the bi-level G-E interaction study under the repeatedly measured phenotype. Within the quadratic inference function (QIF) framework, the proposed method can achieve simultaneous identification of main and interaction effects on both the group and individual level. Simulation studies have shown that the proposed method outperforms major competitors. In the case study of asthma data from the Childhood Asthma Management Program (CAMP), our method leads to identification of improved prediction, as well as main and interaction effects with important implications.
We look forward to seeing you all among us.
Chi-Yang Chiu, Ph.D.
Assistant Professor of Biostatistics
Department of Preventive Medicine, UTHSC