PENALIZED REGRESSION FOR MULTIPLE TYPES OF MANY FEATURES WITH MISSING DATA

• Published in: Statistica Sinica Vol. 33; no. 2; p. 633
• Main Authors: Wong, Kin Yau, Zeng, Donglin, Lin, D Y
• Format: Journal Article
• Language: English
• Published: China (Republic : 1949- ) 01.04.2023
• Subjects: Adaptive lasso; Integrative analysis; Multi-modality data; Multi-platform genomics studies; Factor models; Penalized regression

Recent technological advances have made it possible to measure multiple types of many features in biomedical studies. However, some data types or features may not be measured for all study subjects because of cost or other constraints. We use a latent variable model to characterize the relationships...