Proportion Outcomes in Interrupted Time Series Analysis: Why Both Boundedness and Autocorrelation Matter

Ariel Linden

Background: Proportions are common in interrupted time series analysis (ITSA), but bounded outcomes and serial dependence require distinct modeling considerations. This article pro…