- 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.
Garrett Fitzmaurice, ScD
March 20, 2015
8:30am-4:30pm, Harvard T.H. Chan School of Public Health, FXB G12
Reservations are requested.
The goal of this one-day short course is to provide a broad introduction to statistical methods for analyzing longitudinal data. The main emphasis is on the practical rather than the theoretical aspects of longitudinal analysis. The course begins with a review of established methods for longitudinal data analysis when the response of interest is continuous. A general introduction to linear mixed effects models for continuous responses is presented. Next, we discuss how smoothing and semiparametric regression allow greater flexibility for the form of the relationship between the mean response and covariates. We 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 of models account for the within-subject correlation among the repeated measures, they differ in approach. In this course we highlight the main distinctions between these two types of models and discuss the types of scientific questions addressed by each.
Prerequisite Knowledge: Attendees should have a strong background in linear regression and some minimal exposure to generalized linear models (e.g., logistic regression).
Robert Parker, ScD
March 25, 2015
12:30pm-1:30pm, MGH, 50 Stanford Street, Suite 560, Room 560F
Please join us for this meeting of the Harvard Catalyst Biostatistics Journal Club. The leader of this meeting will be Dr. Robert Parker, ScD, Associate Professor of Medicine at the Massachusetts General Hospital. Please contact Letizia Allais for call-in information.
Wei Wang, PhD
April 15, 2015
12:30pm-1:30pm, Harvard T.H. Chan School of Public Health, Bldg 2, Rm 426
Please join us for this meeting of the Harvard Catalyst Biostatistics Journal Club. The leader of this meeting will be Dr. Wei Wang, PhD, Associate Mathematician in the Division of Sleep and Circadian Disorders in the Department of Medicine and Neurology at Brigham and Women's Hospital. Please contact Letizia Allais for call-in information.
Nicholas Horton, ScD
April 23, 2015
2:30pm-5:30pm, Dana-Farber Cancer Institute, CLSB, 11081
Reservations are requested.
Missing data arise in most real-world situations, and can cause bias or lead to inefficient analyses. The development of statistical methods to address missingness has been actively pursued in recent years, and sophisticated software to appropriately account for it is available within general purpose statistics packages. This session will emphasize practical skills. It will discuss the nomenclature for missing data methods, appropriate ways to describe patterns of missing data as well as how to account for incomplete observations using multiple imputation. The methods will be illustrated using biomedical examples.
Cory Zigler, PhD
May 19, 2015
3:30pm-5:30pm, Harvard T.H. Chan School of Public Health, FXB G12