Dates: 7th-10th October

Host: AMPATH / Moi University School of Medicine

Location: EKA Hotel Eldoret, Kenya

NAMBARI, the Moi-Brown Partnership for HIV Biostatistics Training, and theData Science for Social Determinants program are held a five-day course on machine learning and predictive inference, with emphasis on topics in HIV.  The course included a meeting on the last day (10th October) for our Social Determinant Working Group (CoP).

Funding:  Financial support is provided by the Fogarty International Center of the US National Institutes of Health through grants D43TW010050 and 5U2RTW012121.

Instructors:

Rumi Chunara, PhD is Associate Professor of Biostatistics and Computer Science, and Director of the Center for Health Data Science at New York University. (rumi.chunara@nyu.edu)

Joseph Hogan, ScD is Professor of Biostatistics and Deputy Director of the Data Science Initiative at Brown University.  (jhogan@stat.brown.edu)

Ann Mwangi, PhD is an Associate Professor of Biostatistics, School of Science and Aerospace Studies, Moi University and Adjunct Assistant Professor at Brown University.  (annwsum@gmail.com) 

Allison DeLong, MSc is a Biostatistician at the Brown University School of Public Health. (allison_delong@brown.edu )

Ziv Shkedy, PhD is a Professor of Biostatistics and Bioinformatics at Hasselt University in Belgium. (ziv.shkedy@uhasselt.be)

Course Materials:

Session 1:  Prediction Models in Health:  Goals, Uses, and Challenges - Folder Access

Session 2:  Case Study:  Predicting Loss to Follow-Up (AMPATH) - Folder Access

Session 3:  Case Study:  Building and Validating a Prediction Model - Folder Access

Session 4:  Machine Learning Implementation Part I - Folder Access

Session 5:  Machine Learning for High-Dimensional Data - Folder Access

Session 6:  Machine Learning Implementation Part II (see Session 4 link)

Session 7:  Introduction to Synthetic Data - Folder Access

Session 8:   Creating Synthetic Data (see Session 7 link)

Session 9: Synthetic Data in the Real World (see Session 7 link)