Courses

Core Course Descriptions

Please note: Course instructors and descriptions are subject to change. 

Year One


Fall Core Courses

POPHS 900 Principles of Health Measurement 
Instructors: Theresa Coles & Christy Zigler
3 hours

This course covers the development and inital evaluation of clinical outcomes assessments (COAs). We will begin by reviewing attributes of a quality COA and classical test theory and discuss modern validity theory. The primary focus of the course will be qualitative methods for COA development including concept elicitation, item generation/writing, cognitive testing, and coding. The course will also cover the COA development process from COA-specific literature reviews to determine if a new COA (or modifications) are needed to measure key concepts. 

POPHS 910: Fundamentals of Qualitative Methods
Instructor: Amy Corneli
3 hours

This course will prepare learners for serving as an investigator of qualitative research studies. Learners will gain competancy in 1) designing qualitative research studies, with an emphasis on selecting appropriate methods and analytical approaches and developing question guides; 2) providing oversight during data collection and analysis; 3) writing up study findings for peer-reviewed publications. Learners will gain competency in 1) designing rigorous qualitative studies for grant applications, 2) developing qualitative research study protocols, 3) identifying study domains and writing experiential question guides, 4) overseeing data collection and data management, 5) providing technical guidance during data analysis planning and implementation, 6) writing up study findings after analysis, and 7) preparing peer-reviewed manuscripts. 

POPHS 911: Population Health Sciences Professional Development I
Instructor: Megan Shepherd-Banigan
1 hour

The seminar will engage presenters from the Duke School of Medicine and University to address resources and professional development activities; leading multidisciplinary research teams, best practices for presenting and publishing research, career opportunities including building an academic CV and preparing for a career in population health.


POPHS 920: Analytic Methods I: Design, Data, and Descriptive Statistics 
Instructor: Emily O'Brien
3 hours

 

This course will address designing observational and interventional studies with an attention to defining, identifying, and describing cohorts using a variety of data sources. This course will address forms of bias, right-censoring of data, and describing risks. Special emphasis will be placed on data originating from real world settings, such as an electronic health record and claim data.

 

Spring Core Courses

POPHS 901: Population Health Science Theories & Evidence-Based Approaches
Instructor: Jennifer Gierisch
3 hours

This class will describe and discuss the theories and application of theories to address population health problems. This will include theories from multiple disciplines including health behavior and education, medicine, implementation, and related fields. Emphasis on reserach related to social determinants of heatlh and strategies and techniques used by health professionals to improve the health of populations. 

POPHS 912: Population Health Sciences Professional Development II
Instructor: Megan Shepherd-Banigan
1 hour

Following POPHS 911, this seminar will engage presenters from the Duke School of Medicine and University to address resources and professional development activites; leading multidisciplinary research teams, best practices for presenting and publishing research, career opportunities including building an academic CV and preparing for a career in population health. 

POPHS 921: Analytic Methods II: Casual Inference 
Instructor: Alan Brookhart
3 hours

This course will consider drawing interference about casual effects in a variety of settings using the potential outcomes framework. Topics covered include casual interference in randomized experiments and obeservational studies, bounds and sensitivity analysis, propensity scores, graphical models, survival analysis, handling missing data, and other areas.