Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes

Sisi Ma, Pamela J. Schreiner, Elizabeth R. Seaquist, Mehmet Ugurbil, Rachel Zmora, Lisa S. Chow

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Fingerprint

Dive into the research topics of 'Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes'. Together they form a unique fingerprint.

Engineering & Materials Science

Medicine & Life Sciences