Page 109 - SAMRC Annual Report 2024-2025
P. 109

PERFORMANCE INFORMATION





            RESEARCH HIGHLIGHTS UNDER THIS PROGRAMME








                                                               Biostatistics
                                                               Research Unit






                                                               Unit director:
                                                               Dr. Tarylee Reddy
                                                               tarylee.reddy@mrc.ac.za





            Advancing Research Priorities:                     TB co-infected patients. This PhD research project,
            Strategic Objectives and Impact                    led by Dr Nobuhle Mchunu, has strengthened
                                                               the Unit's international collaborative network with
            The Biostatistics Research Unit (BRU) has played a   Erasmus University (The Netherlands) and was
            pivotal role in collaborative studies through rigorous   presented at the International Biometric Conference
            data  management,  biostatistical  leadership  and   in Atlanta in December 2024.
            innovation. Specifically, the Unit has emerged as a   The Unit earned international recognition for a
            leader in the design and analysis of clinical trials,   creative adaptation in clinical trial design, where a
            which provide critical insights into the safety and   parallel cluster randomised trial was adapted into a
            efficacy of interventions, as well as complex national   stepped-wedge cluster randomised trial. The PACK
            surveys which provide a major source of information   (Practical Approach to Care Kit) trial, published in
            for measuring progress in the implementation of    BMJ Global Health, provided robust evidence that
            South Africa's national strategic plan.            the intervention was effective in improving chronic
            In addition to collaborative research, the Unit has   respiratory care.
            led innovative research with pioneering approaches   In 2024, the BRU Data Management Division and ITSD
            to study design and data analysis harnessing the   embarked on the process to establish a 21 CFR Part
            use of machine learning technology, joint modelling   11 compliant server at the SAMRC. This certificate,
            techniques  and small area  estimation.  In  view of   which was awarded in February 2025, ensures secure,
            the rapid advancement in the fields of Biostatistics   regulatory-compliant data management, improving
            and Data Science, the Unit prioritises the capacity   data integrity, auditability, and record-keeping in line
            development of staff through intensive workshops,   with FDA guidelines.
            mentoring and doctoral supervision. BRU has made
            significant strides in further enhancing the accuracy,   The BRU SAFOODS Division launched the new DIASA
                                                               (Dietary Intake Assessment Application for South
            security  and  accessibility  of  SAMRC  research  data   Africa) mobile application in October 2024. DIASA
            through the implementation of established data     is designed to assist nutrition researchers to capture
            quality assurance programmes and training sessions   detailed dietary intake data by means of a multi-
            lead by the Data Management Division.              pass 24-hour recall methodology, thereby facilitating
                                                               seamless coding and export for statistical analysis.
            Key Milestones and Achievements

            The BRU Biostatistics Division has contributed novel   Building Capacity Through
            statistical methodology to the area of personalised   Training, Mentorship, and Support
            medicine, by incorporating censored longitudinal
            outcomes in multivariate joint models, thereby     BRU led several capacity development initiatives
            facilitating dynamic prediction and the estimation of   during the 2024/2025 year. To enhance the visibility
            the optimal biomarker monitoring intervals for HIV/  of biostatistics and data science while fostering



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