- Continuing education on recent advances in biostatistics
|Talks focused on translating recent advances in biostatistics into practice.||Biostatistics Seminar Series|
During the 2014-15 academic year, the Harvard Catalyst Biostatistics Program will present a series of talks based on recent advances in biostatistics, but with a focus on translation of those ideas to biostatistical practice. Speakers will provide detailed examples of the application of methods, often including discussion of software, code, and worked examples.
November 19, 2014
Shriners Auditorium, Massachusetts General Hospital
This Harvard Catalyst Biostatistics symposium will explore statistical issues that arise in the study of neurologic diseases. The symposium will begin with motivating clinical background and identification of pressing analytical needs in amyotrophic lateral sclerosis, Alzheimer's disease, multiple sclerosis, and Parkinson's disease. The statistical talks will focus on methods for incorporating and handling causal inference, multiple endpoints, high dimensional biomarker selection, censored covariates, and measurement issues in short-term clinical trials. The symposium is intended for statisticians, as well as for researchers in neurologic diseases who have analytical interests.
Speakers will include:
James Berry, MD, Assistant Professor of Neurology, Massachusetts General Hospital
Rebecca Betensky, PhD, Professor of Biostatistics, Harvard School of Public Health
Deborah Blacker, MD, ScD, Professor of Psychiatry, Massachusetts General Hospital
Tanuja Chitnis, MD, Clinical Affiliate in Neurology, Brigham and Women's Hospital
Brian Healy, PhD, Assistant Professor of Neurology, Brigham and Women's Hospital
Eric Macklin, PhD, Instructor of Medicine, Massachusetts General Hospital
David Schoenfeld, PhD, Professor of Medicine, Massachusetts General Hospital
Michael Schwarzschild, MD, PhD, Professor of Neurology, Massachusetts General Hospital
Please email us to RSVP.
Alan Agresti, PhD
December 3 & 4, 2014
HMS, Countway Library, Minot and Ballard Rooms
This short course surveys methods for modeling categorical response variables that have a natural ordering of the categories. Such data often occur in the social sciences (e.g., for measuring attitudes and opinions) and in medical and public health disciplines (e.g., pain, quality of life, severity of a condition). Topics to be covered include logistic regression models using cumulative logits with proportional odds structure, non-proportional odds models, other ordinal logistic regression models such as using adjacent-categories logits, other multinomial response models such as the cumulative probit, and marginal models and random effects models for clustered, correlated ordinal responses (e.g., repeated measurement data). Examples presented include social survey data and randomized clinical trials. Software focus is on R, but SAS output is also provided for many examples. The course will be a concise summary of parts of the book, "Analysis of Ordinal Categorical Data" by Alan Agresti (2nd ed., Wiley, 2010).
Please email us to RSVP.
John Ioannidis, DSc, MD
January 6, 2015
10:30am-12:00pm, HSPH, FXB G12
Tyler VanderWeele, PhD
March 3, 2015
8:30am-4:30pm, Countway Library, Minot Room
Garrett Fitzmaurice, ScD
March 20, 2015
8:30am-4:30pm, HSPH, FXB G12
Nicholas Horton, ScD
April 23, 2015
2:30pm-5:30pm, HSPH, FXB G12
Cory Zigler, PhD
May 4, 2015
3:30pm-5:30pm, HSPH, FXB G12