Proposes variance deltas, an interactive tree-based visualization system that identifies subsets of unobserved quantities explaining posterior uncertainty, with demonstrations on causal inference and polling data.
Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
The DDD-ITSA design adds a second control group to interrupted time series analysis to isolate intervention effects from remaining time-varying biases.
citing papers explorer
-
Variance Deltas for Visualizing and Explaining Posterior Uncertainty
Proposes variance deltas, an interactive tree-based visualization system that identifies subsets of unobserved quantities explaining posterior uncertainty, with demonstrations on causal inference and polling data.
-
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