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Perspectives
Open Access

Incorporating Patient Preferences via Bayesian Decision Analysis

Shomesh E. Chaudhuri and Andrew W. Lo
CJASN April 2021, 16 (4) 639-641; DOI: https://doi.org/10.2215/CJN.12110720
Shomesh E. Chaudhuri
1QLS Advisors, LLC, Cambridge, Massachusetts
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Andrew W. Lo
1QLS Advisors, LLC, Cambridge, Massachusetts
2Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts
3Laboratory for Financial Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
4Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
5Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts
6Santa Fe Institute, Santa Fe, New Mexico
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    Figure 1.

    Optimal size and power for two-armed balanced fixed sample clinical trial according to Bayesian decision analysis (BDA) in which the expected loss of false positives and negatives is jointly minimized. The left figure displays the expected cost to patients as a function of the false positive rate (the BDA optimal value minimizes this expected cost), and the right figure displays the true positive rate (or power) as a function of the false positive rate. For an interactive version of these graphs, see the Supplemental Material.

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Clinical Journal of the American Society of Nephrology: 16 (4)
Clinical Journal of the American Society of Nephrology
Vol. 16, Issue 4
April 07, 2021
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Incorporating Patient Preferences via Bayesian Decision Analysis
Shomesh E. Chaudhuri, Andrew W. Lo
CJASN Apr 2021, 16 (4) 639-641; DOI: 10.2215/CJN.12110720

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Incorporating Patient Preferences via Bayesian Decision Analysis
Shomesh E. Chaudhuri, Andrew W. Lo
CJASN Apr 2021, 16 (4) 639-641; DOI: 10.2215/CJN.12110720
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Keywords

  • clinical trial
  • randomized controlled trials
  • quality of life
  • Bayesian decision analysis
  • patient preferences

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