Rahma Gaber Sweedy is a clinical trials biostatistician with advanced expertise in statistical analysis, research methodology, and real-world evidence generation. She is an Associate Alumni of Harvard Medical School and a Good Clinical Practice (GCP)-certified researcher, with extensive experience supporting clinical studies across multiple international settings.
Rahma plays a central role in strengthening the scientific and analytical foundation of Amyloidosis Africa. She leads the development of statistical analysis plans (SAPs), supports study design and methodology, and ensures the rigor and validity of data generated across the initiative’s programs, including registries, surveys, and future clinical trials.
Her work spans advanced statistical modeling, diagnostic accuracy analysis, and outcomes research, with hands-on experience in parametric and non-parametric regression, ROC curve analysis, sensitivity analyses, and multivariate techniques. She is also actively involved in clinical data management, data cleaning, and transforming complex datasets into actionable insights that inform decision-making and policy.
Rahma contributes to the design and analysis of multi-country research efforts, including the Cardiac Amyloidosis Africa Survey and registry-based initiatives under the Kenya Cardiac Society collaboration. She also supports manuscript development and scientific publications, ensuring high-quality, publishable outputs that advance knowledge in the field.
With a background in epidemiology, infection control, and clinical pharmacy, Rahma brings a multidisciplinary perspective to data-driven healthcare research. She is also experienced in training and capacity building, having developed and delivered courses in sample size calculation and statistical methods for clinical research teams.
Through her role, Rahma supports Amyloidosis Africa’s mission to generate high-quality evidence, improve diagnostic pathways, and enable scalable, data-driven solutions for cardiac amyloidosis across the continent.
