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Logistic regression model for readmission.

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Figshare2022-01-19 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Logistic_regression_model_for_readmission_/18730804
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As a proxy for reoffense, we use a dichotomous outcome variable indicating whether or not an individual discharged during a given calendar year was readmitted in the same calendar year. The model includes four parameters: an intercept; an indicator fixed effect for release during the week of March 23—29; an indicator fixed effect for release during 2020; and an interaction effect for release specifically during March 23—29, 2020.
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2022-01-19
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