BU Student Chapter of the ASA

Welcome to the BUSCASA (pronounced boo-casa, the ‘s’ is silent!) home page!  Here you’ll find information on our student chapter of the American Statistical Association (ASA), including upcoming events.

In Fall of 2014, Boston University was proud to become a pilot ASA student chapter.  Our mission statement describes the goals of this chapter:

The purpose of this student chapter shall be to promote statistical practice and research, to unify students across the University with an interest in statistics, and to provide networking opportunities in both industry and academia.

Join the ASA & BUSCASA

ASA Membership is required to be a regular member of BUSCASA. Only regular members can hold officer positions or vote in elections. If you are interested in becoming a member of the ASA, please click here to join. Also, please fill out the BUSCASA Interest Form to become a member of BUSCASA and add yourself to our mailing list so you can stay up to date on current BUSCASA events, meetings and announcements!

Contact Info

If anyone has any questions or comments for BUSCASA, please contact us at buscasa@bu.edu. Don’t forget to “Like” us on Facebook and join our LinkedIn group.

Upcoming Events

One-Day Short Course on Applied Longitudinal Analysis

Date: October 13, 2017
Time: Sign-in 8:30-9am, Presentation: 9am – 4:30pm

Registration Information: Please register at http://bcasa2017longitudinal.eventbrite.com by October 9.
Cost (including refreshments, lunch, and materials):
• Students: $20 (with valid ID)
• Boston ASA Chapter members: $40
• Non-members: $60

Organizer: American Statistical Association (ASA)
Co-sponsors: Boston Chapter of the ASA and BU Student Chapter of the ASA
Instructor: Professor Garrett Fitzmaurice, Harvard T.H. Chan School of Public Health
Location: Boston University Medical Center, Room CT460/CT460A, 801 Massachusetts Avenue, Boston

Public transportation: Please see http://www.bumc.bu.edu/about/map-directions/directions-by-bus for information about bus service. If you prefer to take the T, the Orange line stop at Massachusetts Avenue is a 10 to 15-minute walk to the Crosstown (CT) Center and 801 Mass Avenue. The Silver line also serves this area.

Parking information: There is a parking garage right behind 801 Massachusetts Avenue that can be accessed from Albany Street. The cost of parking is $24 for a period of 5-12 hours. However, an early bird special of $15 may be available up to 9 a.m.

Details: The goal of this course is to provide a broad introduction to statistical methods for analyzing longitudinal data. The emphasis is on the practical aspects of longitudinal analysis. I begin the course with a review of established methods for longitudinal data analysis when the response of interest is continuous and present a general introduction to linear mixed effects models for continuous responses. Next, I discuss how smoothing and semiparametric regression allow greater flexibility for the form of the relationship between the mean response and covariates. I demonstrate how the mixed model representation of penalized splines makes this extension straightforward. When the response of interest is categorical (e.g., binary or count data), two main extensions of generalized linear models to longitudinal data have been proposed: “marginal models” and “generalized linear mixed models.” While both classes account for the within-subject correlation among the repeated measures, they differ in approach. We will highlight the main distinctions between these two types of models and discuss the types of scientific questions addressed by each.

Brief Course Outline:
• Longitudinal Data: Basic Concepts. Review of Linear Mixed Effects Models for Continuous Data: 9:00-10:15 a.m.
• Break: 10:15-10:30 a.m.
• More Flexible Linear Effects Models: Smoothing and Semiparametric Regression: 10:30 a.m. to noon
• Lunch: noon to 1 p.m.
• Marginal Models and Generalized Estimating Equations (GEE) 1:00-2:30 p.m.
• Snack/afternoon break 2:30-2:50 p.m.
• Generalized Linear Mixed Effects Models. Contrasting Marginal versus Mixed Effects Models 2:50-4:30 p.m.

About the instructor: Dr. Fitzmaurice is a Professor of Psychiatry at Harvard Medical School and Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. He is also Director of the Psychiatric Biostatistics Laboratory at McLean Hospital. A Fellow of the American Statistical Association, he has served as statistics editor for the journal Nutrition and associate editor for Biometrics, the journal of the Royal Statistical Society, Series B, and Biostatistics. Dr. Fitzmaurice has research interests in statistical methodology and collaborative projects in mental health. His principal achievements in statistical research have been to develop methodology for longitudinal analysis, missing data, and psychiatric epidemiology. With colleagues Nan Laird and Jim Ware, Dr. Fitzmaurice published the bestselling textbook, Applied Longitudinal Analysis.