Using R as an Epidemiologist: Assessment of real-world data

R-Ladies Dammam and R-Ladies Gaborone co-host the talk describing how Brianna Lindsay,PhD uses and has used R as an epidemiologist in industry and academia. The focus of the talk will review how she approaches a dataset, important lessons learned about ‘dirty’ real-world data and the basics of data exploration using R and R Studio.
Epidemiology is the study of the distribution and determinants of health-related states of events in specified populations..., (Frérot et al.,Changing Definitions of epidemiology, 2017).

Brianna Lindsay, MPH, PhD, is an infectious disease epidemiologist based full-time in Zambia. She serves as primary epidemiologic personnel for the CDC/PEPFAR-funded CIRKUITS HIV treatment and prevention service delivery programs, supporting data collection, database design, and analysis. She also assists globally through programs in the affiliated Center for International Health, Education, and Biosecurity (Ciheb) at the University of Maryland Baltimore, supporting eight countries across sub-Saharan Africa. Dr. Lindsay applies quantitative data analysis to inform epidemiological investigations and practical research in infectious disease prevention and treatment in real-world settings. She has published extensively in burden of disease estimation using various study designs has expertise in quantitative methods as well as analysis of high-throughput and advanced molecular detection techniques. She has planned and organized a number of global health data workshops in Africa, Asia and the U.S.
https://twitter.com/brlindsay88