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development of clinical risk prediction tools. You should be confident working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS, and have a strong
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variables, regression discontinuity, and difference-in-differences), and machine learning methods, with familiarity with operations research and game theory as additional assets. (E) Ability to develop and
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