Talks focused on translating recent advances in biostatistics into practice. Biostatistics Continuing Education
At a glance
Opportunity for
  • Continuing education on recent advances in biostatistics
Eligibility
  • All members of the Harvard Catalyst community, but primarily geared toward biostatisticians
Session Dates
  • Varies; see below for details

The Harvard Catalyst Biostatistics Program will present seminars on current applied topics in biostatistics. These will include our monthly journal club and work in progress sessions, seminar series, symposia, and short courses.

Journal Club/Work in Progress

January 2017 Journal Club

Elissa Wilker, ScD
Assistant Professor of Medicine
Beth Israel Deaconess Medical Center
January 30, 2017
12:30pm-1:30pm
Harvard T.H. Chan School of Public Health, Room 2-426

Please join us for this meeting of the Harvard Catalyst Biostatistics Journal Club. Dr. Elissa Wilker, Assistant Professor of Medicine at BIDMC, will discuss the following article: Benjamin A. Goldstein et. al. "Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record" American Journal of Epidemiology, November, 2016; Vol. 184 (11): 847-855.

Journal Club Reading

February 2017 Journal Club

Dihua Xu, PhD
Statistician, MGH
February 16, 2017
12:30pm-1:30pm
MGH Biostatistics Center, 50 Staniford Street, Suite 560

Seminar Series

Biostatistics Seminar Series: The Placebo Effect in Clinical Trials

Kathryn T. Hall, PhD, MPH
The Pharmacogenetics of the Placebo Response
January 26, 2017
3:30pm-5:00pm, Harvard T.H. Chan School of Public Health, FXB G13

Maurizio Fava, MD
The Challenge of the Placebo Response in Depression Trials
February 8, 2017
3:30pm-5:00pm, Harvard T.H. Chan School of Public Health, Kresge G2

Ted J. Kaptchuk and Roger B. Davis, ScD
Placebo Effects in Medicine and Clinical Trial Design Considerations
February 23, 2017
3:30pm-5:00pm, Harvard T.H. Chan School of Public Health, FXB G13

Symposia

Biostatistics Annual Symposium: P-values, Hypothesis Testing and Reproducibility

March 2, 2017, 9:00am-4:00pm
Minot Room, Countway Library, Harvard Medical School

Learn from prominent statisticians who will address current controversies and thinking about significance testing in science, with focused presentations on relevance to the FDA, publication in the clinical literature, health services research, neuro-imaging analysis, statistical genetics and scientific replication.

Andrew Gelman, PhD
Professor, Department of Statistics and Department of Political Science, Columbia University
The Statistical Crisis in Science

David Harrington, PhD
Professor of Biostatistics, DFCI, HCSPH
Some Significantly Statistical Issues for Peer Reviewers of Medical Research

Peter Kraft, PhD
Professor of Epidemiology and Biostatistics, HCSPH
Finding a Needle in a Stack of Needles: Perspectives on Significance Testing in Genome-Wide Association and Other High-Dimensional Genomics Studies

Nicole Lazar, PhD
Professor, Department of Statistics, University of Georgia
Reproducibility in Functional Neuroimaging Studies: Multiple Testing and p-Values

Sharon-Lise Normand, PhD
Professor of Health Care Policy, HMS, Professor of Biostatistics, HCSPH
Generating Evidence for Comparative Effectiveness Research

Robert T. O'Neill, PhD
Senior Statistical Advisor, Center for Drug Evaluation and Research, FDA
A Regulatory Perspective on the Role of P Values in Hypothesis Testing and Estimation in Regulatory Decision Making

Prasad Patil, PhD
Postdoctoral Fellow, Department of Biostatistics, HCSPH, Department of Biostatistics and Computational Biology, DFCI
Setting Expectations for Replicability in Science

Short Courses