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Proportion Outcomes in Interrupted Time Series Analysis: Why Both Boundedness and Autocorrelation Matter
Background: Proportions are common in interrupted time series analysis (ITSA), but bounded outcomes and serial dependence require distinct modeling considerations. This article provides guidance on selecting and evaluating models for proportion outcomes. Methods: Two published healthcare ITSA stud
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