Brown Represents at 2018 ICHPS

The 12th International Conference on Health Policy Statistics (ICHPS) is taking place this week in Charleston, SC. The ICHPS is the signature event of the American Statistical Association’s (ASA) Health Policy Statistics Section. The theme for the 2018 ICHPS is “Health Statistical Science Care, Policy, Outcomes” and Brown’s biostatisticians have a strong presence at the conference.

Ruoshui Zhai, PhD Candidate, and Assistant Professor Roee Gutman presenting on Power and Money: Optimal Sample Size for Cluster Randomized Trials Based on the Randomization, Part of the Pragmatic Cluster Randomized Trials session.

Alumnus, Sarah Robertson, ScM’16 and Issa Dahabreh, Assistant Professor of HSPP and Epidemiology, will be presenting Generalizing findings from randomized patients to all eligible patients in singly randomized preference trials, Part of the Data Integration session.

Biostatistics doctoral candidate, Youdan Wang, is Chair of the Precision Medicine and Research Synthesis Methods session, at which Professor Chris Schmid and Youdan Wang will present an invited paper on Hierarchical Models for Combining N-of-1 Trials, and at which Professor of HSPP, Thomas Trikalinos, will be a Discussant.

Biostatistics doctoral candidate, Mingyang Shan, will present his paper with collaborators, Assistant Professor Roee Gutman and Assistant Professor HSPP Kali Thomas, on Analysis of Meals on Wheels Recipients through Linkage to Electronic Health records at the Pragmatic Use of Large Health Data Sources session.

Assistant Professor Roee Gutman is Chair of the Use of CMS Data and Tools to Help Researchers session.

Assistant Professor Roee Gutman is the organizer and alumnus, Chenyang Gu, PhD’17 now at Harvard Medical School, is Chairing the Session entitled Linking Registries and other Clinical Administrative Data to Enhance Comparative Effectives Research. During the session, scheduled for Friday, 12 January 2018, Assistant Professor Gutman will present Estimating the effects of Meals on Wheels through Linage to Claims Data Sources.  Also during this session, Henry Ledyard Goddard Professor of Biostatistics, Constantine Gatsonis, will present on Combining Registry with Insurance Claims Data in the Evaluation of Diagnostic Tests.

Biostatistics doctoral candidate, Anthony Scotina, will present his paper, in collaboration with Assistant Professor Roee Gutman, on Matching Algorithms for Causal Inference with Multiple Treatments during the Safety and Causal Inference session.