Annual Biostatistics Symposium

For the first time in the year 2022, the Department of Statistics hosted the Biostatistics and Machine Learning symposium at the main campus in July 2022.  Delegates and attendees world wide met for the 3 day symposium and workshops.  The Department of Statistics is very pleased with the turnaround of attendance.  Thank you to all that attended the 2022 symposium.  Thank you! Baie dankie! Rea leboga! Check this page for the announcement of the 2023 symposium. 

►See the July 2022 programme here

The international symposium is jointly organized and sponsored by the Department of Statistics at the University of Pretoria, the DST-NRF-SAMRC SARChI research chair in Biostatistics, South Africa, and the College of Health Solutions at the Arizona State University, USA.

Dates:  26 to 28 July 2022

Venues: 26 July 2022 ( at the SANLAM Auditorium, Hatfield campus University of Pretoria) and 27-28 July 2022 (at the SRC Chambers, Hatfield campus University of Pretoria)

Registration fee (3days, no accommodation): R1800

Registration fee (3 days, with accommodation 3 nights@R800 per night): R4000

Deadline for Abstract Submission was on the 19 July 2022

The registration fee covered the food (teas and coffee, lunch and dinner) and related conference fees. There was also accommodation available at the Future Africa campus. The organisors sponsored the registration fee for selected in-person presenters under competitive selections, where reasons to apply for the registration fee waiver were stated. Graduate academics who qualified for UCDP funding could attend day 3 on machine learning free of charge. 

Biostatistics is a scientific field with an integral role in modern medicine and health sciences, from designing clinical trials and intervention studies to analyzing data to determining whether a new vaccine or treatment has intended effectiveness in real life. Modern biostatistics is at the forefront of modern health research data science analytics to seek solutions for emerging diseases and health problems, often with enormous analytical complexities that arise from using high-dimensional and big health data. The symposium will further focus on machine learning for effective implementation in Biostatistics. The theme of this international symposium is to bring together researchers in South Africa and internationally to share research and development in biostatistical modeling and health-related applications, with workshops on machine learning.

Organizers:

Professor Samuel Manda, Head of the Department of Statistics, University of Pretoria, South Africa

Professor (Din)Ding-Geng Chen, Executive Director and Professor in Biostatistics, College of Health Solutions, Arizona State University, USA, Extraordinary Professor and DST-NRF-SAMRC SARChI Research Chair in Biostatistics, Department of Statistics, University of Pretoria, South Africa

Professor Inger Fabris-Rotelli, Department of Statistics, University of Pretoria, South Africa