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collaborative, impact-focused problem solver who wants to be part of a dynamic team. Information about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https
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researchers. The successful candidate will lead development of variable importance measures – including the design, implementation, and evaluation of new methods for explaining individualized treatment effect
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datasets. This work will involve the cleaning and development of data files as well as using econometric and statistical analysis to analyze the data. A background in statistical programming (STATA and/or R
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