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Julie Buring, Sc.D.
Professor of Medicine at Harvard Medical School and Brigham and Women's Hospital, Professor of Epidemiology at the Harvard School of Public Health, and Director of Research at Harvard Medical School's Division for Research and Education in Complementary and Integrative Medical Therapies
Our common wisdom says that no one study can definitively evaluate a hypothesis, and that an understanding of where we are in our knowledge of a research question must come from looking at the totality of evidence. Our common wisdom also says that in the hierarchy of clinical study designs available to evaluate a question, the strongest level of evidence will come from well-conducted, large-scale, randomized clinical trials. But what do we do when the studies are completed, and the evidence from the different designs disagrees? Or when the data comes solely from observational studies, for ethical, logistic, or scientific reasons? How can we learn from examples over the last years to better design and more wisely interpret results from the various study designs?
What do we do when studies disagree? [electronic resource] / Julie Buring.
Series:
NIH director's Wednesday afternoon lecture series
Author:
Buring, Julie E. National Institutes of Health (U.S.)
Publisher:
[Bethesda, Md. : National Institutes of Health, 2010]
Other Title(s):
NIH director's Wednesday afternoon lecture series
Abstract:
(CIT): Julie Buring, Sc.D. Professor of Medicine at Harvard Medical School and Brigham and Women's Hospital, Professor of Epidemiology at the Harvard School of Public Health, and Director of Research at Harvard Medical School's Division for Research and Education in Complementary and Integrative Medical Therapies Our common wisdom says that no one study can definitively evaluate a hypothesis, and that an understanding of where we are in our knowledge of a research question must come from looking at the totality of evidence. Our common wisdom also says that in the hierarchy of clinical study designs available to evaluate a question, the strongest level of evidence will come from well-conducted, large-scale, randomized clinical trials. But what do we do when the studies are completed, and the evidence from the different designs disagrees? Or when the data comes solely from observational studies, for ethical, logistic, or scientific reasons? How can we learn from examples over the last years to better design and more wisely interpret results from the various study designs? The NIH Director's Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide.
