Quantitative Research

 

A new approach has been agreed upon to help improve the efficiency of the biostats services in the Faculty.
 
There is a biostatistics proposal screening tool, which should be used by requesting students and staff to help improve the quality of their proposals before submitting for biostats support. In addition to the screening tool there is a biostatistics support application form which should be submitted together with the proposal.
 
The schools' representatives will assist with screening the proposals and ensure that they are in good standing for biostatistics services, which will be provided by Dr Ogunsankin (new biostatistician) and Prof Musekiwa.
 
Dr Ogunsankin will be responsible for statistical services for requests submitted from the School of Medicine, School of Healthcare Sciences and School of Dentistry. Prof Musekiwa will be responsible for biostatistics requests submitted from the School of Health Systems and Public Health. 
 
Each School has their respective school representative. These are the people who should be receiving the biostatistics requests at School level, screening and submitting the satisfactory proposals or requests to the respective biostatistician. Below are details of school-level biostatistics representatives:
 
  • Biostatistics representative for School of Medicine - [email protected]
  • Biostatistics representative for School of Healthcare Sciences - [email protected]  
  • Biostatistics representative for School of Dentistry - [email protected] 
  • Biostatistics representative for School of Health Systems and Public Health [email protected]  (a pre-screener is being recruited)

 

Webinars

 

 

 

 

Practical Steps for Developing a Research Proposal for Biostatistics Support

28 July 2023

Dr Ropo Ebenezer Ogunsakin

   

 

 

   

 

 

 

Researcher Tour - An Exploration of Data Science Methods in Health Science

7 September 2023

Dr Ropo Ebenezer Ogunsakin   

 
 
 
 
 
 
 
 
 
 
Artificial Intelligence (AI) and Machine Learning (ML) for Health Sciences Research
 
6 November 2023
 
 
Prof (Din) Ding-Geng Chen
 

 

 
   

 

 

 

 

 

AI's Impact on Society (or Health) requires that we all play a role

12 February 2024

Presentation slides

Prof Vukosi Marivate

 

 

 

Attachments

 Biostatistics appointment request form

 Biostatistics appointment request form - non degree purposes 

Guideline for proposal/protocol pre-screening for biostatistics support

 

 

Please see below the bios of the Biostatisticians, School Screeners and external collaborators:

Biostatistician

 

Biostatistician

Dr Ropo Ebenezer Ogunsakin

HW Snyman Building North Room 4-7

[email protected]

For the Faculty of Health Sciences

 

Dr Ropo Ebenezer Ogunsakin was appointed as a Biostatistician for the Faculty of Health Sciences from 1st July 2023. He received his PhD from the University of KwaZulu-Natal, Republic of South Africa 2018. Prior to joining the University of Pretoria, he served as a Biostatistician for the College of Health Sciences, KwaZulu Natal University, South Africa. Ebenezer’s work focuses on the application of Biostatistics in medical research. His research interest evolved around the application of spatiotemporal techniques to solve real-life health problems, Bio-statistical methodological development in Bayesian statistics and their applications to medical sciences, Generalized linear models, Environmental statistics, Meta-analysis, Randomized response techniques, Survey methodology, and Statistical computing.

 

 

 

 

Prof Alfred Musekiwa

HW Snyman Building South Room 5-10

[email protected]

For the School of Health Systems and Public Health

 

Professor Alfred Musekiwa is an associate professor and Head of the Division of Health Measurement Sciences in the School of Health Systems and Public Health (SHSPH), Faculty of Health Sciences, University of Pretoria. He holds a PhD in biostatistics from the University of KwaZulu-Natal (UKZN). He completed his Biostatistics Post-Doctoral Fellowship at the Johns Hopkins University’s Bloomberg School of Public Health in the USA.  He has worked as a Senior Biostatistician at several medical research organizations including the South African Medical Research Council (MRC), Wits Health Consortium, Right to Care, and the U.S. Centers for Diseases Control and Prevention (CDC).

Professor Musekiwa is also a Biostatistician for the School of Health Systems and Public Health, where he provides biostatistical support to staff and postgraduate students. His research interest is in HIV/AIDS among adolescent girls and young women in sub-Saharan Africa, where he has published widely. He is a C2 NRF-rated researcher as an applied biostatistician and is a specialist in systematic reviews and meta-analyses.

School of Dentistry Screener

School of Healthcare Sciences Screener

Dr Melvin Ambele

[email protected]

Dr. Ambele obtained his Ph.D. from UCT and is a Senior Research Officer at the Department of Oral and Maxillofacial Pathology, seconded by the Institute for Cellular and Molecular Medicine. He has unique and highly specialized skills in translation research, which has established him as an emerging leader in the field of adipogenesis, obesity and cancer. He has published extensively in his field and served as Guest Editor in ISI Journals. He also served on Review Panels for NRF (THUTHUKA) and the SAMRC (SIR) Research Grants. He is actively involved in teaching, training and supervision of postgraduate students in Genetics, Medical Immunology and Dentistry.

Dr Kuhlula Maluleke

[email protected]

Kuhlula Maluleke is an epidemiologist and public health researcher who recently completed her PhD under REASSUED-@UP. She completed her PhD in record time and presented three published manuscripts and two under review in her thesis. Her  research focus is on improving supply chain management for point-of-care diagnostic services in resource-limited settings. In addition to her PhD studies, Kuhlula is a member of the UP evidence synthesis and translation research groups. In this capacity she has mentored undergraduate students. She serves as a biostatistics screener for the School of Healthcare Sciences. She is interested in adopting innovative techniques such as geographic information systems to address public health challenges.

School of Medicine Screener

 

Prof Trevor Nyakudya

[email protected]

Prof Nyakudya is a Medical Physiologist based at the University of Pretoria where he is an Associate Professor in the Department of Physiology and School of Medicine. He is a BSc Hons, MSc Medicine (Physiology) and a Doctoral degree (Ph.D) in Medical Physiology graduate from Wits University. He also holds a Postgraduate Diploma in Health Sciences Education and an MSc in Health Science Education from Wits University. His pre-clinical medicine research focus is on the neonatal programming and the developmental origins of health and metabolic disease. He makes use of neonatal and adult animal models to investigate the potential therapeutic efficacy of alternative and complementary medicines, administered during the critical windows of developmental plasticity, against diet-induced metabolic dysfunction.

Prof Nyakudya is a member of several national and international scientific societies. He has authored and co-authored several journal articles in national and international accredited journals as well as a book chapter. To date, Prof Nyakudya has supervised several MSc students and PhD students who are at various stages of their studies.

 

External Collaborators

 

Prof (Din) Ding-Geng Chen

[email protected]

Elected Fellow | American Statistical Association

SARChI Chair in Biostatistics, Department of Statistics, University of Pretoria, South Africa

Executive Director & Professor in Biostatistics, College of Health Solutions,

Senior Global Futures Scientist, Julie Ann Wrigley Global Futures Laboratory

Arizona State University, Phoenix, USA

 

Dr. (Din) Ding-Geng Chen is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. He is currently the executive director and professor in biostatistics at the College of Health Solutions, Arizona State University, USA. He is also an extraordinary professor and the SARChI research chair in biostatistics at the University of Pretoria, an honorary professor at the University of KwaZulu-Natal, South Africa. Dr. Chen was a professor in Biostatistics at the University of North Carolina at Chapel Hill, a professor in biostatistics at the University of Rochester Medical School, and the Karl E. Peace Endowed Eminent Scholar Chair in Biostatistics at Georgia Southern University. He is a senior biostatistics consultant for biopharmaceuticals and government agencies with extensive expertise in biostatistics, clinical trials, and public health statistics. Dr. Chen has more than 200 referred professional publications and co-authored and co-edited 38 books on clinical trial methodology, meta-analysis, data science, causal inference, and public health research.

Prof Vukosi Marivate
ABSA Chair of Data Science.
Data Science for Social Impact Research Group
 
 
 
 
 
 
 
 
 
Prof Vukosi Marivate holds the ABSA UP Chair of Data Science and is an Associate Professor of Computer Science at UP. He specializes in Machine Learning (ML) and Artificial Intelligence (AI), focusing on Natural Language Processing (NLP) and local or low-resource languages. As leader of the Data Science for Social Impact group, he works on projects in various sectors like energy and public safety. He co-founded Lelapa AI, an AI startup focusing on AI for Africans, Co-founded the Masakhane NLP research foundation and is a  co-founder of the Deep Learning Indaba.
 
 
Prof Olawande Daramola is a Professor in the Department of Informatics at the University of Pretoria, South Africa. His research is broadly in Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data analytics, Software Engineering, and Information Systems. He is particularly interested in using AI technologies such as ontologies, knowledge graphs, and machine learning to enable intelligent capabilities in expert systems relevant to real-world domains such as healthcare, education, government, trade, tourism, and commerce. He has deployed several methodologies in his research, including systematic literature reviews, comparative reviews, design science research, experimental design, and quantitative techniques. He has published widely in reputable international journals and conferences in Computing. He is currently serving on the editorial board of 3 leading journals in the field of Computing and on the programme committee of several prestigious international conferences in Computing. He is currently the Principal Investigator of 3 ongoing grant research projects in the area of Applied AI in Healthcare. He is also a reviewer for several top Computer Science and Information Technology journals. In addition, he has supervised many master's and doctoral students and served as an external examiner of postgraduate theses for many universities in South Africa and internationally.  

 

 

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