News and Announcements

Geisel Researchers Employ Machine Learning on Instagram Data to Identify Substance Use Risk

Findings from an innovative study conducted by a team of researchers at Dartmouth’s Geisel School of Medicine and published in the journal Neuropsychopharmacology, point to a promising new approach for identifying substance use risk through the use of machine learning and social media data. Read more here: https://geiselmed.dartmouth.edu/news/2018/geisel-researchers-employ-mach…

Stem Cell Transplantation May Aid Hard-to-Treat Scleroderma Patients

Results from a new study conducted by researchers at Dartmouth’s Geisel School of Medicine and a number of collaborating institutions are giving hope to patients who suffer from the autoimmune disease scleroderma or systemic sclerosis. Their findings, presented this week at the American College of Rheumatology Annual Scientific Meeting in […]

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Dr. James O’Malley has two papers accepted for publication in the Journal of Biostatistics and the journal of Statistics in Medicine

Paper 1: Adjusting for bias introduced by instrumental variable estimation in the Cox Proportional Hazards Model by Pablo Martinez-Camblor, Todd MacKenzie, Doug Staiger, Philip Goodney, and James O’Malley accepted for publication in Biostatistics (https://arxiv.org/abs/1711.02725). This is the first paper from PCORI statistical methods award led by James O’Malley. It address […]

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“Estimating the causal effect of treatment in observational studies with survival time end points and unmeasured confounding” by Jaeun Choi, Ph.D., and A. James O’Malley, Ph.D.

SummaryEstimation of the effect of a treatment in the presence of unmeasured confounding is a common objective in observational studies. The two-stage least squares instrumental variables procedure is frequently used but is not applicable to time-to-event data if some observations are censored. We develop a simultaneous equations model to account […]

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Geisel Announces New Master’s Degree in Health Data Science

Dartmouth’s Graduate Program in Quantitative Biomedical Sciences (QBS) is offering a new master’s degree with a concentration in health data science beginning in fall 2018. This new degree is part of Dartmouth’s innovative interdisciplinary graduate program, which trains doctoral students in bioinformatics, biostatistics, and epidemiology. “I’m very excited to see […]

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Virtual Presentation on Big Data Tools

Please join the Division of Biomedical Informatics in the Department of Biomedical Data Science for a virtual presentation of the ESRI Big Data Tools on Friday, February 17th, 2017 in Williamson 373 at 12pm – 1pm. Mansour Raad, a Senior Software Architect at ESRI who specializes in Big Data GIS […]

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