The DDD-ITSA design adds a second control group to interrupted time series analysis to isolate intervention effects from remaining time-varying biases.
Challenges to validity in single-group interrupted time series analysis.Journal of Evaluation in Clinical Practice, 23:413–418, 2017
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
stat.AP 2years
2026 2representative citing papers
citing papers explorer
-
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