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Graduate Curriculum

Epidemiology Courses taught as part of the Quantitative Biomedical Sciences PhD program: 

Foundations of Epidemiology I (QBS 130/Biol 072)
Instructor: Diane Gilbert-Diamond, ScD
Part 1 of a 2-course sequence that teaches the underlying theory of epidemiologic study designs and analysis and prepares students to conduct epidemiologic research. Prequisities: College or graduate statistics course.
10am - 12pm Tuesday/Thursday

Applied Epidemiology (QBS 136)
Instructor: Annie Hoen, PhD
Computer laboratory-based course designed to provide hands-on experience performing epidemiological data analyses relevant to the theoretical/conceptual material presented in Foundations of Epidemiology I. Students will complete laboratory exercises using epidemiological study data sets that guide them through descriptive data analyses, hypothesis testing within the context of a range of epidemiological study designs, causal inference methods, addressing confounding and effect modification, and power and sample size calculations. Analyses will be performed in the open-access programming language R. Course will meet once per week for 90 minutes. Note that this is a half-credit course. Prerequisites: Foundations of Epidemiology I (QBS 130/Biol 072) is prerequisite or should be taken concurrently.
12:30p - 2pm Monday

Epidemiology Seminar (QBS 270)
Instructor: Janet Peacock, PhD
Graduate-level journal club focused on interpreting scientific literature specific to epidemiological and biomedical research studies. Students will learn about the key aspects of a scientific study, how to critically evaluate epidemiological and biomedical research studies and how to effectively communicate study findings to others. Prerequisites: None.
2:30p - 4p Monday

Epidemiology Seminar (QBS 271)
Instructor: Jennifer Emond, PhD
Students will critically review a mini-set (2-3 studies) of epidemiological studies in one field of their choice. The goal of the review is to present a "mini" report of the current state of the science for a particular research area and to outline a future study. The outline of that future study should be a clear extension of the limitations of the studies reviewed or the implications of the studies reviewed. Prerequisites: None
Spring Term

Other Courses: 

Geisel - Patients and Populations: Improving Health and Healthcare [Epidemiology and Biostatistics]
Instructor: Judy Rees, MD, PhD
As part of the larger Patients and Population course, the Epi-Bio module for first year medical students covers the principles of epidemiologic & biostatistical methods, so that students can apply them to clinical medicine and critical appraisal of the research literature. It is also an introduction to research methods for those who want to develop those skills further. Prerequisites: Geisel medical students.
Spring Term

Introduction to Biostatistics 
Instructors: Brock Christensen, PhD, and Jiang Gui, PhD
This course provides an introduction to statistical methods for students in PEMM and MCB (typical enrollment >20). This course is a survey of the statistical methods most often used in biomedical research. The course aims to provide an understanding of basic statistical concepts, principles of data analysis, and will include interactive examples (and problem sets) that will serve as an introduction to conducting data analysis in R. Prerequisites: None, typically taken in year 2 (fall)