Conducting Interrupted Time-series Analysis for Single- and Multiple-group Comparisons

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Challenges to validity in single-group interrupted time series analysis.

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Interrupted Time Series (ITS) analysis represents a powerful quasi-experime-ntal design in which a discontinuity is enforced at a specific intervention point in a time series, and separate regression functions are fitted before and after the intervention point. Segmented linear/quantile regression can be used in ITS designs to isolate intervention effects by estimating the sudden/level change (...

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ژورنال

عنوان ژورنال: The Stata Journal: Promoting communications on statistics and Stata

سال: 2015

ISSN: 1536-867X,1536-8734

DOI: 10.1177/1536867x1501500208