Ever wonder about the accuracy of published research? Jeff Leek, assistant professor of biostatistics at the Johns Hopkins Bloomberg School of Public Health has, and on Thursday he will discuss his thoughts on the subject in the Mountain Ballroom of Talley Student Union.
The discussion is part of the fall series of Red Talks organized and hosted by the Data Science Initiative (DSI).
A recent paper suggested that most published medical research is false, launching an entire discipline focused on the crisis of reproducing and replicating published scientific findings.
Leek will discuss two open problems inspired by this scientific crisis: how do researchers know when a study replicates and what is the rate of false discoveries in the scientific literature?
“In answering these questions I will argue that much of the crisis in science can be attributed to misunderstanding statistics,” Leek says in his lecture abstract.
Leek is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma.
His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created data analysis as a component of the year-long statistical methods core sequence for biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Leek has taught the course.
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