Conducting interrupted time-series analysis for single- and multiple-group comparisons
Abstract. In this article, I introduce the itsa command, which performs
interrupted time-series analysis for single- and multiple-group comparisons. In
an interrupted time-series analysis, an outcome variable is observed over
multiple, equally spaced time periods before and after the introduction of an
intervention that is expected to interrupt its level or trend. The itsa
command estimates the effect of an intervention on an outcome variable either
for a single treatment group or when compared with one or more control groups.
Additionally, its options allow the user to control for autocorrelated
disturbances and to estimate treatment effects over multiple periods.
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Ariel Linden
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itsa, interrupted time series, quasi-experimental designs, causal inference
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