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Slideshow

Tags: Industry Day

The Impact Of Treatment Discontinuation Due Adverse Events On Efficacy In An Oncology Clinical Trial Abstract Randomized clinical trials persist as the gold standard for evaluating the efficacy and safety of new treatments. However, in clinical trials of reasonable size and duration, it is common for some patients to deviate from their assigned study treatment due to various reasons. One such deviation is treatment discontinuation resulting from…
The Interplay between Statistical Practice and Academic Research Abstract: In the statistics field, there is a strong symbiotic relationship between academics and industry. We will explore this relationship primarily from a practicing statisticians’ perspective and discuss the lessons learned on how to foster, grow and bridge the gap between statistical practice and academic research. Several problems encountered in industry that led to academic…
Machine Learning for High-Risk Applications in Banking Renowned statistician George Box once famously stated, “All models are wrong, but some are useful.” In a world where machine learning increasingly automates important decisions about our lives, the consequences of model failures can be catastrophic. It’s critical to take deliberate steps to mitigate risk and avoid unintended harm. Evaluating the conceptual soundness of machine learning…
Decision Making in Clinical Development: How Statisticians are Impacting the Pharmaceutical Business Abstract: One aspect of the pharmaceutical industry thatstatisticians can continue to refine and influence is how data-drivendecisions are made. These decisions can be made from the earliestpoints in preclinical development through full commercializationof drugs. While data-driven decisions are common for a singlehypothesis, there are cases…
  Industry Day Brochure Zoom Link Competition The UGA Department of Statistics is pleased to organize the inaugural Data Science Competition jointly with Data Scientists from Wells Fargo. The competition is open to all undergraduate and graduate students with an interest in data science. There will be two separate streams, one for undergraduates and another for graduates. Participants will compete in teams of 3 to 4 students. The top two…
Michael Hamada is an applied statistician who has worked at Los Alamos National Laboratory since 1998. He received his PhD in Statistics from the University of Wisconsin-Madison. Previously he worked at the US Department of Agriculture, the University of Waterloo, Bellcore, and the University of Michigan. He is a Fellow of the ASA, ASQ, and Los Alamos National Laboratory. He is also a co-author of the books Experiments: Planning, Analysis and…
Senior Manager, Data Science at The Home Depot Founder, Southern Data Science Conference Ph.D. in Computer Science from The University of Georgia (2014)

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