Super learner analysis of electronic adherence data improves viral prediction and may provide strategies for selective HIV RNA monitoring

Maya L. Petersen, Erin LeDell, Joshua Schwab, Varada Sarovar, Robert Gross, Nancy Reynolds, Jessica E. Haberer, Kathy Goggin, Carol Golin, Julia Arnsten, Marc I. Rosen, Robert H. Remien, David Etoori, Ira B. Wilson, Jane M. Simoni, Judith A. Erlen, Mark J. Van Der Laan, Honghu Liu, David R. Bangsberg

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

41 Scopus citations

Fingerprint

Dive into the research topics of 'Super learner analysis of electronic adherence data improves viral prediction and may provide strategies for selective HIV RNA monitoring'. Together they form a unique fingerprint.

Medicine & Life Sciences