Courses Taught by Jennifer Head
EPID601: Principles And Methods Of Epidemiology
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Jennifer Head (Residential);
- Offered Every Fall
- Prerequisites: EPID 600 or departmental permission
- Advisory Prerequisites: Additional courses that are recommended by not required include: BIOSTAT 522 or similar course covering linear regression; experience with R programming language (through courses such as as EPID 639)
- Description: Epid 601 covers foundational concepts, principles, and methods of population-based epidemiologic research. The course expands upon Epid 600 material and is a foundation for subsequent Epid courses. Via theoretical and quantitative instruction, students will learn epidemiologic study design, measures of association, bias characterization and mitigation, statistical analysis, and causal inference.
- Syllabus for EPID601
| Department | Program | Degree | Competency | Specific course(s) that allow assessment | EHS | Industrial Hygiene | MS | Analyze, interpret, and apply statistical and epidemiological data | PUBHLTH512, EPID601, Thesis |
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EPID604: Applications Of Epidemiology
- Graduate level
- Residential
- Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
- 1-6 credit hour(s) for residential students;
- Instructor(s): Ella August, James Buskiewicz, Sara Adar, Matthew Boulton, Andrew Brouwer, Melissa Beck, Kelly Bakulski, Miatta Buxton, Joseph Eisenberg, Marisa Eisenberg, Nancy Fleischer, Betsy Foxman, Aubree Gordon, Alexis Handal, Jennifer Head, Jihyoun Jeon, Spruha Joshi, Sharon Kardia, Carrie Karvonen-Gutierrez, Lindsay Kobayashi, Peter Larson, Aleda Leis, Elizabeth Levin-Sparenberg, Lynda Lisabeth, Juan Marquez, Emily Martin, Briana Mezuk, Alison Mondul, Lewis Morgenstern, Belinda Needham, Marie O'Neill, Sung Kyun Park, C. Leigh Pearce, Laura Power, Alex Rickard, Jennifer Smith, Eduardo Villamor, Abram Wagner, Xin Wang, Douglas Wiebe, Zhenhua Yang, Jonathan Zelner, (Residential);
- Prerequisites: Instructor Permission
- Description: Application of epidemiological methods and concepts to analysis of data from epidemiological, clinical or laboratory studies. Introduction to independent research and scientific writing under faculty guidance.
- This course is cross-listed with .
- Syllabus for EPID604
EPID674: Epidemiologic Data Analysis Using R
- Graduate level
- Online MPH only
- This is a second year course for Online students
- Winter term(s) for online MPH students;
- 2 credit hour(s) for online MPH students;
- Instructor(s): Michael Hayashi (Online MPH);
- Offered Every Year
- Prerequisites: None
- Advisory Prerequisites: (EPID 640, PH 512) or (EPID 600, BIOSTAT 521 or 501)
- Description: This course introduces the R statistical programming language for epidemiologic data analysis. Content focuses on organizing, managing, and manipulating data; basic graphics in R; and descriptive methods and regression models widely used in epidemiology. The 2-credit option includes statistical modeling in R. The 3-credit option adds programming in R.
- Syllabus for EPID674
