The DDD-ITSA design adds a second control group to interrupted time series analysis to isolate intervention effects from remaining time-varying biases.
Power considerations for multiple-group (controlled) interrupted time series analysis: a comprehensive simulation study
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Improving causal inference in interrupted time series analysis: the triple difference design
The DDD-ITSA design adds a second control group to interrupted time series analysis to isolate intervention effects from remaining time-varying biases.
- Multiple-group (Controlled) Interrupted Time Series Analysis with Higher-Order Autoregressive Errors: A Simulation Study Comparing Newey-West and Prais-Winsten Methods