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

During the 2015-16 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.

If you missed our December course on Methods of Analysis of Genetic Studies with Dr. Liming Liang, you can now view it on our Past Seminars page.

Upcoming Seminars

Latent Variable Modeling and Measurement

Karen Bandeen-Roche, PhD, and Qian-Li Xue, PhD, Johns Hopkins University
October 27, 2016, 1:30pm-5:30pm, Room 1620, Dana Building
October 28, 2016, 8:30am-12:00pm, 506 Minot Room, Countway Library

Please RSVP separately for each day.

Please join Karen Bandeen-Roche, Hurley-Dorrier Professor and Chair, Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health, and Qian-Li Xue, Associate Professor of Medicine and Biostatistics at Johns Hopkins Medical Institutions. This short course will discuss latent variable modeling and applications to construct development, measurement, and validation.


Course Materials

Day 1

Day 2


This short course introduces latent variable modeling with a primary focus on quantitative approaches to complex measurement and a secondary focus on regression ("structural" modeling). Following an overarching introduction to latent variable modeling, topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; exemplification of structural modeling via latent class regression, latent growth curve, and mixtures-of-growth-curves analysis. Model specification, fitting, identification, diagnosis, and pitfalls are discussed. Substantial time will be devoted to software introduction (SAS, Mplus) and application to examples in the clinical sciences (e.g. physical and cognitive impairment and disability). Upon successfully completing this course, students will be able to read and evaluate scientific articles as regards measurement in health; and interpret, and begin fitting, latent variable models, including factor analyses, latent class analyses, and latent class regression analyses.

November 2016 Journal Club

Bernard Rosner, PhD
Professor, Department of Biostatistics, Channing Laboratory
Professor of Medicine, HMS
November 22, 2016
Harvard T.H. Chan School of Public Health, Room 2-426

Dr. Bernard Rosner, Professor of Medicine (Biostatistics) at Harvard Medical School, will discuss the following article: Douglas J. Lorenz et al. "Marginal Association Measures for Clustered Data" Stat Med. 2011 November 30; 30(27): 3181-3191.

Journal Club Reading

December 2016 Journal Club

Kush Kapur, PhD
Assistant Professor of Neurology
Boston Children's Hospital
December 7, 2016

See also our past biostatistics seminars.