Variable selection methods for identifying predictor interactions in data with repeatedly measured binary outcomes.
Document Type
Journal Article
Publication Date
11-16-2020
Journal
Journal of Clinical and Translational Science
Volume
5
Issue
1
Inclusive Pages
e59
DOI
10.1017/cts.2020.556
Recommended Citation
Wolf, B., Jiang, Y., Wilson, S., & Oates, J. (2020). Variable selection methods for identifying predictor interactions in data with repeatedly measured binary outcomes.. Journal of Clinical and Translational Science, 5 (1). http://dx.doi.org/10.1017/cts.2020.556
Peer Reviewed
1
Open Access
1
