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  • December 2019
  • Technical Note
  • HBS Case Collection

Technical Note on Bayesian Statistics and Frequentist Power Calculations

By: Amitabh Chandra and Ariel Dora Stern
  • Format:Print
  • | Language:English
  • | Pages:15
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Abstract

This Technical Note provides an introduction to Bayes’ Rule and the statistical intuition that stems from it. In this note, we review the concepts that underlie Bayesian statistics, and we offer several simple mathematical examples to illustrate applications of Bayes’ Rule. Instructors can assign this note either as a standalone reading to familiarize students with Bayesian statistics or as a supplement to accompany “Adaptive Platform Trials: The Clinical Trial of the Future?” (HBS Case No. 618-025). This case introduces the concept of an adaptive platform clinical trial, in which Bayesian statistical methods are used to expedite the investigation and regulatory approval of promising new therapies, such as cancer treatments.

Keywords

Bayesian Statistics; Mathematical Methods

Citation

Chandra, Amitabh, and Ariel Dora Stern. "Technical Note on Bayesian Statistics and Frequentist Power Calculations." Harvard Business School Technical Note 620-032, December 2019.
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About The Authors

Amitabh Chandra

Technology and Operations Management
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Ariel D. Stern

Technology and Operations Management
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More from the Authors
  • The Brigham and Women’s Hospital Innovation Hub: Driving Internal Innovation By: Ariel Dora Stern, Robert S. Huckman and Sarah Mehta
  • Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance By: Alexander O. Everhart, Soumya Sen, Ariel D. Stern, Yi Zhu and Pinar Karaca-Mandic
  • Vertex and the Cure for Type 1 Diabetes By: Amitabh Chandra, William J Anderson and Silvia Mare
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