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Contact: Elizabeth Fisher

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1883 IOE

MSSISSIOE students Wesley Marrero, Selin Merdan, and Christine Barnett were recognized at the 2017 Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS). The symposium allows communication across related fields of statistical sciences and promotes interdisciplinary research among graduate students and faculty. It encourages graduate students to present their work, share insights and exposes them to diverse applications of statistical sciences.

Wesley Marrero was awarded ASA Prize for Best Poster Presentation for his poster titled “Projections of Non-Alcoholic Steatohepatitis Related Liver Transplantation Waitlist Additions.” Non-alcoholic steatohepatitis (NASH) is correlated with obesity, however, the temporal relationship from obesity development and NASH-related cirrhosis is unclear. Wesley and his coauthors, Neehar D Parikh, Jingyuan Wang, Justin Steuer, David W Hutton, Eunshin Byon, and Mariel S Lavieri, aimed to determine the temporal trend behind NASH-related additions to the liver transplant (LT) waitlist and the rise in obesity in the US population to make projections about the potential burden of NASH over the next decade. They found that the rise in obesity highly correlates with a rise in NASH-related waitlist additions with a lag time of 9 years. They project continued increase in demand for LT for NASH given recent population obesity trends.

Selin Merdan and Christine Barnett were awarded Best Oral Presentation for their talk titled “Data Analytics for Optimal Staging Decisions for Newly-Diagnosed Prostate Cancer Patients.” One of the most important aspects of cancer staging is the determination of whether the cancer has metastasized. They used data-analytics approaches to develop, calibrate, and validate predictive models to help urologists in a large state-wide collaborative make prostate cancer staging decisions. These models were used to design guidelines that optimally weigh the benefits and harms of radiological imaging for detection of metastatic cancer. The models were validated using statistical methods based on bootstrapping and evaluation on out-of-sample data. The Michigan Urological Surgery Improvement Collaborative implemented these guidelines, which reduced unnecessary imaging by more than 40% and is predicted to limit the percentage of patients with missed metastatic disease to be less than 1%. The effects of the guidelines were measured post-implementation to confirm their impact on reducing unnecessary imaging across the State of Michigan.

Another IOE student, Thomas Chen, took third place in the oral presentation competition with his talk titled “Drinking Water Distribution Systems Asset Management: Statistical Modelling of Pipe Breaks.” MSSISS is an annual event organized by graduate students in the Biostatistics, Electrical Engineering & Computer Science, Industrial & Operations Engineering, Statistics and Survey Methodology departments at the University of Michigan. Tom Logan was the IOE representative on the organizing committee for the event.