8 citations · 13 across the 3 of their papers we have counts for
3 papers
stat.AP2024★ 2 cited
Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
Matthew Blackwell, Ruofan Ma, Aleksei Opacic
Political scientists are increasingly interested in assessing causal mechanisms, or determining not just if a causal effect exists but also why it occurs. Even so, many researchers…
stat.ME2023★ 8 cited
Priming bias versus post-treatment bias in experimental designs
Matthew Blackwell, Jacob R. Brown, Sophie Hill +2
Conditioning on variables affected by treatment can induce post-treatment bias when estimating causal effects. Although this suggests that researchers should measure potential mode…
stat.ME2021★ 3 cited
Adjusting for Unmeasured Confounding in Marginal Structural Models with Propensity-Score Fixed Effects
Matthew Blackwell, Soichiro Yamauchi
Marginal structural models are a popular tool for investigating the effects of time-varying treatments, but they require an assumption of no unobserved confounders between the trea…