DRAFT - Applied Health Economics and Outcomes Research Pathway

Course Director: Arindam RoyChoudhury, PhD
4 credits

An introduction to the fundamentals of biostatistics with primary emphasis on understanding of statistical concepts behind data analytic principles. This course will be accompanied with a Stata lab to explore, visualize and perform statistical analysis with data. Lectures and discussions will focus on the following: exploratory data analysis; basic concepts of statistics; construction of hypothesis tests and confidence intervals; the development of statistical methods for analyzing data; and development of mathematical models used to relate a response variable to explanatory or descriptive variables.

Course Director: Arian Jung, PhD
3 credits

This course provides an introduction to basic economic concepts associated with health care and current policy issues facing the US health care system. Topics will include the historical foundations of the health care system, how the health care sector differs from other markets, financing of health care and the role of government, the structure and functions of public and private health insurance, economic components of the delivery system, and understanding the challenges of health care reform. These topics will be examined from the view of payers, providers, and regulators, and the interactions of these stakeholders. Students will also be introduced to international comparisons of health care systems.

Course Director: Jiani Yu, PhD
3 credits

This course is designed to introduce students to the fundamentals of health services research. Health services research is the discipline that measures the evaluations of interventions designed to improve healthcare. These interventions can include changes to the organization, delivery and financing of health care and various healthcare policies. Common outcome measures in health services research include (but are not limited to) patient safety, healthcare quality, healthcare utilization, and cost. Specific topics to be covered in this course include: refining your research question, identifying common research designs and their strengths and weaknesses, minimizing bias and confounding, selecting data sources, optimizing measurement, and more. There will also be a component of the course that explores how to present your 9 ideas and iteratively refine your work, based on feedback from peers and reviewers. This course includes both lectures and interactive group discussions. Students will be able to apply the methods learned in this course to their masters’ research projects.

Course Director: Faculty
2 credit

This is the culminating capstone course of all masters-level graduate education programs. It has two aims: (1) helping students to discover and develop new and effective ways of managing and working together with all the stakeholders within the healthcare field and (2) helping accelerate a student's development of 12 the context awareness, integrative management, and industry skills that are needed to lead in a rapidly changing healthcare sector. This capstone course puts students in a new organization, one they don’t already know well, and gives them the chance to practice hitting the ground running. This culminating course provides a deeper preparation for the next stages of a student's career. The capstone project will last the entire year: the first term involves matching students with the right project, the second term has students working with their client, and the third term consists of a detailed report and final presentation in front of the client as well as faculty and fellow classmates.

Course Director: Angelica Meinhofer, PhD
3 credits

Course Director: Angelica Meinhofer, PhD
3 credits

Prerequisites: Biostatistics I or Introduction to Biostatistics
With an emphasis on empirical applications, this course equips students with the tools necessary to empirically analyze non-experimental data at levels often required in professional environments. Applied Econometrics for Health Policy is designed with twin objectives in mind. The first is to provide students with the ability to critically analyze the empirical analysis done by others at a level sufficient to make intelligent decisions about how to use that analysis in the design of health policy. The second is to provide students with the skills necessary to perform empirical analysis on their own, or to participate on a team involved in such empirical analysis. Students will become proficient in using multiple regression analysis using cross-sectional and panel data, including in ways that provide causal interpretation.

Course Director: Faculty
3 credits

This is the culminating capstone course of all masters-level graduate education programs. It has two aims: (1) helping students to discover and develop new and effective ways of managing and working together with all the stakeholders within the healthcare field and (2) helping accelerate a student's development of the context awareness, integrative management, and industry skills that are needed to lead in a rapidly changing healthcare sector. This capstone course puts students in a new organization, one they don’t already know well, and gives them the chance to practice hitting the ground running. This culminating course provides a deeper preparation for the next stages of a student's career. The capstone project will last the entire year: the first term involves matching students with the right project, the second term has students working with their client, and the third term consists of a detailed report and final presentation.

Course Director: Ali Jalali, PhD, MA
3 credits

Prerequisites: Biostatistics I or Introduction to Biostatistics
The cost effectiveness analysis course is a 2 part course. The first part provides an overview of techniques used to understand medical decision making under uncertainty. Participants will learn how to structure decision analysis questions, construct decision trees, and analyze outcomes using probability. The second part provides an in-depth exposure to techniques used to conduct economic evaluations of health care technologies and programs. Participants learn how to critique economic evaluations using costeffectiveness approaches and are introduced to tools they can use to apply these techniques in their own research projects.

Course Director: Ali Jalali, PhD
3 credits

Course Director: Pragya Kakani, PhD
3 credits

This course has two aims. First, to introduce students to fundamental health economic topics The course is designed is accomplish these two aims using a three-pronged approached. (1) Lectures: The first half of the course will introduce a health economic topic that will provide context for the class (2) Course readings: The second half of the course will focus on one or two class readings that both relate to the (3) Course assignments: There will be a small number of course assignments that will require students to use Stata.

Course Director: Faculty
3 credits

This is the culminating capstone course of all masters-level graduate education programs. It has two aims: (1) helping students to discover and develop new and effective ways of managing and working together with all the stakeholders within the healthcare field and (2) helping accelerate a student's development of the context awareness, integrative management, and industry skills that are needed to lead in a rapidly changing healthcare sector. This capstone course puts students in a new organization, one they don’t already know well, and gives them the chance to practice hitting the ground running. This culminating course provides a deeper preparation for the next stages of a student's career. The capstone project will last the entire year: the first term involves matching students with the right project, the second term has students working with their client, and the third term consists of a detailed report and final presentation in front of the client as well as faculty and fellow classmates.

Course Director: Sean Murphy, PhD
3 credits

Real-world evidence (RWE) is rapidly reshaping how we evaluate the safety, risk, and economic value of medical interventions. Real World Evidence Strategy (HPEC 5015) introduces students to the principles and practices of using real-world data (EMR, claims, registries) to fill critical evidence gaps in the regulatory process. Through a mix of lectures and quantitative labs, students will gain critical competencies in: understanding methodological differences between RWE and randomized clinical trials; RWE regulatory frameworks and advanced methods; and creating professional evidence summaries for regulatory audiences.