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Sung Jae Jun

1 accepted papers

2023

Average Adjusted Association: Efficient Estimation with High Dimensional Confounders

AISTATS 2023poster

The log odds ratio is a well-established metric for evaluating the association between binary outcome and exposure variables. Despite its widespread use, there has been limited discussion on how to summarize the log odds ratio as a function of confounders through averaging. To address this issue, we…