Due to unforeseen circumstances, we have come to the difficult decision of canceling the May 2026 program.
If your group would like to organize a private educational program, we would be glad to coordinate a customized session drawing from any of our available courses. If you have questions, please contact us through our email biostat@mgh.harvard.edu
Program in Applied Biostatistics for Clinical Research
Courses
The MGH Biostatistics Program in Applied Biostatistics for Clinical Research, offers seven specialized courses designed by Havard Medical School faculty to strengthen foundational and advanced skills in biostatistical methods for clinical research. The program focuses on developing practical statistical skills and analytical thinking essential for biomedical research.
Organizations can design their own program through custom combinations of courses, or individual courses à la carte to suit their training goals. We offer flexible participation options, allowing you to join us in-person or remotely.
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For inquiries or to learn more, please contact us at biostat@mgh.harvard.edu
Applied Causal Inference
This course will present the fundamental topics of causal inference for randomized and non-randomized studies. We will introduce the potential outcomes framework, identification of estimands (e.g., via g-formula), directed acyclic graphs (DAGs), and the basics of experimental design (e.g., Fisher-exact p-value, confidence interval).
David Cheng,
PhD
Assistant Professor of Medicine, Harvard Medical School
Assistant Professor of Medicine, Harvard Medical School
Marie-Abèle
Bind, PhD
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Advanced R Programming & Data Visualization
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This course will cover topics needed to develop robust programming workflows. We will explore writing clean and readable code, utilizing functional programming to develop code that is efficient, maintainable, and error-free, and programmatically outputting results.
Senior
Biostatistician,
MGH Biostatistics​
James Chan,
MA, MEd
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