Abdallah Issahaku

Senior Biostatistician

Ghana Health Service

09.2020 - Current

Evaluated the performance of predictive models by conducting rigorous validation studies, ensuring accuracy and reliability in real-world applications.
Produced high-quality written reports and presentations to communicate complex statistical findings to non-technical stakeholders, ensuring clarity and understanding.
Maintained compliance with regulatory guidelines by establishing rigorous documentation standards for all statistical deliverables.
Contributed to strategic decision-making by providing insights derived from comprehensive data analyses on key performance indicators.
Proactively identified potential risks in study designs and recommended appropriate mitigation strategies to prevent delays or compromised results.
Reduced errors in data interpretation by creating user-friendly visualization tools that effectively communicated key findings to project stakeholders.
Developed innovative statistical methodologies to address unique research questions, improving overall project outcomes.
Led a team of biostatisticians for successful completion of various clinical trial projects, ensuring timely delivery and accurate results.
Optimized analytical approaches by constantly staying up-to-date with latest industry trends, publications, and best practices in biostatistics.
Mentored junior biostatisticians, fostering professional growth and enhancing their technical skills through training initiatives.
Increased efficiency in data analysis by implementing advanced statistical techniques and software tools.
Enhanced collaboration between statisticians and researchers through effective communication strategies that fostered mutual understanding of objectives and expectations.
Ensured data integrity and quality control by developing and implementing stringent SOPs for data management processes.
Analyzed clinical and survey data by using statistical approaches such as longitudinal analysis, mixed effect modeling, logistic regression analysis and model building techniques.
Used Software to prepare tables, charts and graphs to present clinical data or results.
Designed surveys to assess health issues and developed and implemented data analysis algorithms.
Drew conclusions and made predictions based on data summaries or statistical analysis.

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