At a glance
Opportunity for
  • Investigators who want to understand and apply CER methods to their research.
  • Participants must have completed master's-level introductory courses in regression and epidemiology, and must possess at least a basic working knowledge of SAS, Stata, or R.
Time commitment
  • Online course work and assignments averaging 2-3 hours per week over 12 weeks.
  • Free for Harvard-affiliated institutions
  • CTSA member: $860.00
  • Non-CTSA member: $1150.00
Session dates
  • February 28 - May 23, 2018
Application due
  • 5:00pm on January 24, 2018
The application process is closed.

Comparative Effectiveness Research (CER) is an introductory online course.

The Agency for Healthcare Research and Quality defines the goal of CER as "inform[ing] health-care decisions by providing evidence on the effectiveness, benefits, and harms of different treatment options. The evidence is generated from research studies that compare drugs, medical devices, tests, surgeries, or ways to deliver health care."

In this online course, participants will learn about the motivation for CER and how it compares to other research areas. The course will discuss the variety of data sources and analytic methods that are used in CER studies. Course participants will also get hands-on experience performing data transformation and analysis.

Harvard Catalyst's Education Program offers first priority to applicants who are current Harvard students, faculty, or current employees of Harvard University, its fifteen schools, and its nineteen academic healthcare centers.

Applicants not from an institution affiliated with Harvard Catalyst are accepted for a fee when space is available. For additional details, please email course administrators.

The Harvard Catalyst Education Program is accredited by the Massachusetts Medical Society to provide continuing medical education for physicians. Harvard Catalyst Education Program's policy requires full participation and the completion of all activity surveys to be eligible for CME credit; no partial credit is allowed.