In this course, youâll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. Youâll learn how to assemble, clean, and de-identify your datasets. Finally, youâll learn to find and correct deficiencies throu
Janet Holbrook, PhD, MPH
Bloomberg School of Public Health
Ann-Margret Ervin, PhD, MPH
Epidemiology (primary); Ophthalmology (joint)
David M. Shade, JD
Epidemiology