Dates: 1st-5th  July 2024

Host: AMPATH / Moi University School of Medicine

Location: EKA Hotel Eldoret, Kenya

NAMBARI, the Moi-Brown Partnership for HIV Biostatistics Training, and the Data Science for Social Determinants program are pleased to announce a five-day course on machine learning and predictive inference, with emphasis on topics in HIV.  

The course will include a meeting on the last day (5th July) for our Social Determinant Working Group (CoP) and we invite those who are interested in getting involved to note so in their application.

Target Audience: Professional statisticians, data analysts, university faculty members, and graduate students in sub-Saharan Africa working at universities, research centers, government ministries, or NGOs that are focused on the analysis of biomedical and health data.  This workshop is geared toward those with advanced training in statistics.  Attendees must have a strong working knowledge of basic statistical analysis methods, including regression analysis, and familiarity with the use of statistical software such as R, SAS, or Stata.  The working group is interactive and for those specifically interested in using social determinants data in analyses.

R software installed (instructions will be provided in advance).  

Application Deadline: The application is OPEN soon and must be filled out by the May 17th deadline. Due to space constraints, enrollment is limited to around 50 people.  Applicants will be notified by 1 June to give enough time to plan travel.

Cost and other requirements:  Selection for both the course and working group is by application only.  Tuition for the course is free.  

• Accommodation at EKA Hotel Eldoret will be provided for participants from outside Eldoret.  

• Cost of transport to and from Eldoret must be covered by the attendee

• Participants must bring a laptop with R software installed (instructions will be provided in advance). 

Workshop Structure and Content

• Mornings:  Didactic lecture format covering key concepts and background

• Afternoons:  Hands-on implementation of analysis methods.

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)