8 courses with the subject POPHS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
POPHS 701Foundations of Biostatistics for Population Health
Instructor: Brad Hammill This course is an applied introduction to biostatistical methods for population health research. Topics include descriptive data analysis, foundational concepts of statistical inference, inferential methods for categorical and continuous data, and simple regression analysis for continuous outcomes. Students will use statistical software to explore data and perform statistical analysis.
Instructor: Brad Hammill Building on POPHS 701, this course covers regression methods for population health data. Topics include multivariable linear regression and logistic regression, with an introduction to generalized linear models and causal inference methods. Survival analysis and related regression methods are also covered. Students will use statistical software to explore data and perform statistical analysis.
POPHS 703Introduction to Statistical Programming for Population Health Sciences I
Concurrent with POPHS 701 Instructor: Faculty Students will be introduced to statistical software packages (e.g., SAS Software System, R Statistical Computing Platform) to provide an introduction to the core ideas of programming, including data preparation, input/output, debugging, and strategies for program design. Students will learn to write code to perform descriptive, statistical, and graphical analyses, and write maintainable code to test for correctness, and to apply basic principles of reproducibility. Programming techniques
POPHS 704Introduction to Statistical Programming for Population Health Sciences II
Concurrent with POPHS 702 Instructor: Faculty Students will build on programming learned in POPHS 703 using the SAS Software System and R Statistical Computing Platform. Students will perform descriptive, statistical, and graphical analyses, and write maintainable code, test code for correctness, and apply basic principles of reproducibility. Programming and assignments will be closely connected with the methods and examples presented in the co-requisite regression methods course POPHS 702.
POPHS 705Introduction to Population Health Sciences
Instructor: Heather King This course introduces students to population health, the distribution of health within and between populations across the lifespan and over time; understood through health determinants, disparities, and outcomes as well as healthcare access, cost, and quality. The course explores the who and how of population health sciences, which aims to intervene at multiple levels to improve population health. Within population health sciences, attention will be paid in the course to preliminary rese
Instructor: Virginia Wang This course is designed to introduce students from multiple disciplines to the fundamental characteristics of health care systems; the organization, financing, and delivery of services in the US health care system; the role of prevention and other non-medical factors in population health outcomes; key management and policy issues in contemporary health systems; and public policy and its impact on the prospects for improvement health systems and population health.
POPHS 707Research Methods I - Measuring Health and Designing Studies in Population Research
Instructor: Sudha Raman This is the first in a two-course sequence in which we will establish a strong foundation in population health research methodology through in-depth coverage of quantitative study design. The course introduces critical concepts in research methods including understanding populations, measuring and describing health, defining exposures, interventions and outcomes, study design including randomized trials and cohort studies, and threats to internal validity, such as confounding and bias. Th
POPHS 708Research Methods II: Evidence, Methods, and Decision Making in Population Health
Instructors: Dana Pasquale The course introduces critical concepts in research methods including understanding populations; measuring and describing health with limited or imperfect data; defining exposures, interventions, and outcomes; study design in applied settings; challenges to application; and working with stakeholders. The course work and activities aim to develop the student’s ability to understand how to design, interpret, and critique population health assessments and interventions. The foundation for th I'm a current Duke student. Can I take the certificate? The PHSR is designed exclusively for working professionals and is not available to any degree-seeking students, those at Duke or elsewhere. How long is the program? Participants may take up to 3 years to complete the program. Completion over 2 years is recommended, though participants have the option to complete the certificate in 1 year. How do I apply? Please email Mary Medlin a CV and a 500-word personal statement. I've submitted my application. Who will review it? All submitted applications will be reviewed by a faculty member. Selected candidates will be asked to complete a virtual interview with members of the DPHS Education Team , prior to a decision being reached. When will I receive a decision? The application decisions will be made on a rolling basis and no later than September 1. Decisions will be released through email notification only. How are courses graded? Coursework will be graded according to the same policies outlined by The Graduate School: A (exceptional, 4.0 grade point) is the highest grade. B (good, 3.0 grade point) and C (satisfactory, 2.0 grade point) F (failing) is unsatisfactory. I (incomplete) indicates that some element of the student’s work is missing for an acceptable reason at the time grades are reported. Do you have additional questions? Ask us! Send Your CV & Personal Statement
