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.
A team of researchers at Dartmouth’s Geisel School of Medicine, led by Tor Tosteson, Sc.D., has been approved for a $1 million funding award from the Patient-Centered Outcomes Research Institute (PCORI) to design new methods for comparing the effectiveness of alternative therapies that can lead to improvements in practice and better outcomes for patients.
NIH has awarded Dr. Zhigang Li a 5-year R01 grant with a total cost of $2.3 million dollars to develop "Mediation Analysis Methods to Model Human Microbiome Mediating Disease-Leading Causal Pathways in Children" (1R01GM123014). In this project, Dr. Li will lead a team consisting of biostatisticians, epidemiologists and a pediatrician at Geisel School of Medicine at Dartmouth, as well as a researcher from the Perelman School of Medicine at the University of Pennsylvania.
"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.
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.
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 applications, will provide a presentation on the ArcGIS server framework built upon a Hadoop Cluster platform. During this presentation he will demo an example application that uses the Apache Accumulo key store to secure protected health data.
For faculty, researchers, and graduate and professional school students, "Gear Up!" will showcase information management tools, apps, and research support systems to help you kick your research projects into high gear. Gear Up is sponsored by Dartmouth SYNERGY: Clinical and Translational Science Institute and organized by the Dartmouth Biomedical Libraries and the Scholarly Communication, Copyright and Publishing Program.
Through a shared research network, scientists use a NASA machine learning algorithm to search for cancer biomarkers.
Several Biomedical Data Science faculty presented research at the 2016 Joint Statistical Meetings (JSM) in Chicago, IL, July 30th-August 4th. JSM is the largest gathering of statisticians held in North America.
Title: Hierarchical Regression and Variance-Function Modeling to Estimate the Inter-Rater Intraclass Correlation Coefficient in Assessments of Shared Decision Making
Author(s): James O'Malley and Paul J. Barr and Glyn Elwyn