Biostatistics and Study Design for Grant Writing

Securing funding for biomedical and health research requires a scientifically rigorous study design and a clear statistical analysis plan. For early-career researchers, translating a scientific hypothesis into a concrete biostatistical framework can be a major hurdle. This text-based course guides you through the essential biostatistical concepts needed to design credible studies and write compelling grant proposals. You will learn to align your research scope with practical constraints while establishing statistical validity that satisfies peer reviewers. What you will learn: Understand key biostatistical terminology and foundational study designs; Identify and define independent, dependent, and confounding variables in your research; Align study scope and design complexity with your budget, timeline, and resources; Interpret the fundamentals of statistical power, sample size calculations, and effect sizes; Formulate precise, informed questions to collaborate effectively with expert biostatisticians; Incorporate modern open science practices, such as preregistration and data sharing plans, into your proposal. This course begins with foundational definitions of study types and variables, then transitions into practical aspects of power analysis and sample size determination. You will work through written explanations and realistic scenarios to build your confidence in writing the statistical sections of your proposal. This course is designed for early-career researchers, clinicians, and graduate students preparing their first major health research grant proposals. No prior advanced statistical background is required. Start reading today to build a scientifically sound foundation for your next grant proposal.