Assistant Staff
Email: [email protected]
Location: Cleveland Clinic Main Campus
One of the core functions of science is the estimation of and inference about the causal effects of real or hypothetical interventions. My research focuses on methods for improving causal estimation and inference in observational and randomized studies. In the past, this has included work counterfactual prediction, postmarket vaccine evaluation, target trial emulation, and interference/spillover and placebo effects in randomized trials. At the Clinic, I collaborate with investigators at the Center for Value Based Care Research leveraging electronic medical records databases to evaluate comparative effectiveness of primary care and hospital-based interventions and as a platform for novel trial design to improve medical decision-making at the point of care.
Christopher Boyer, PhD is an Assistant Staff Biostatistician at the Cleveland Clinic in the Department of Quantitative Health Sciences and an Assistant Professor of Medicine (pending) at the Cleveland Clinic Lerner College of Medicine at Case Western Reserve University. He holds secondary appointments in Primary Care Institute and the Center for Value Based Care Research at the Cleveland Clinic and as Adjunct Assistant Professor in the Department of Epidemiology at the Harvard TH Chan School of Public Health. Prior to joining the Clinic, he completed a postdoc at the Center for Communicable Disease Dynamics at Harvard under Dr. Marc Lipsitch.
PhD in Epidemiology - Harvard University, Cambridge, MA
MSPH in Epidemiology - Columbia University, New York, NY
BS in Mechanical Engineering - Wright State University, Dayton, OH
Our education and training programs offer hands-on experience at one of the nationʼs top hospitals. Travel, publish in high impact journals and collaborate with investigators to solve real-world biomedical research questions.
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