Developing and Validating Ways to Model High-Dimensional Data

Dr. Gianfranceso talks about big data in health care and using causal inference to understand mechanisms of disease. She describes using Mendelian randomization and an instrumental variable for genetic risk factors in her study of obesity. She describes how combing causal methods and big data can help improve our knowledge of disease.