Clinical research increasingly requires professionals who can integrate epidemiology, biostatistics, technology, and operational decision-making rather than treating these areas as separate disciplines. This webinar introduces undergraduate and graduate students to the technical reasoning behind modern clinical study design and execution.
Participants will follow the progression of a research question from initial study concept through population definition, endpoint selection, data collection, statistical analysis, and interpretation. The session will examine how epidemiologic principles and biostatistical methods inform study design, how poor assumptions can affect feasibility and data quality, and where artificial intelligence and automation can support research workflows without replacing scientific judgment.