activity
20172021
most citedPatterns of Effects and Sensitivity Analysis for Differences-in-Differences

11 citations · 11 across the 1 of their papers we have counts for

collaborators

6 papers

math.ST2021

Prepivoted permutation tests

Colin B. Fogarty

We present a general approach to constructing permutation tests that are both exact for the null hypothesis of equality of distributions and asymptotically correct for testing equa…

stat.AP2019

Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes

Colin B. Fogarty, Kwonsang Lee, Rachel R. Kelz +1

We investigate the efficacy of surgical versus non-surgical management for two gastrointestinal conditions, colitis and diverticulitis, using observational data. We deploy an instr…

stat.ME2019

Testing weak nulls in matched observational studies

Colin B. Fogarty

We develop sensitivity analyses for weak nulls in matched observational studies while allowing unit-level treatment effects to vary. The methods may be applied to studies using any…

stat.ME2019

Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach

Siyu Heng, Hyunseung Kang, Dylan S. Small +1

In many observational studies, the interest is in the effect of treatment on bad, aberrant outcomes rather than the average outcome. For such settings, the traditional approach is…

stat.AP201911 cited

Patterns of Effects and Sensitivity Analysis for Differences-in-Differences

Luke J. Keele, Dylan S. Small, Jesse Y. Hsu +1

Applied analysts often use the differences-in-differences (DID) method to estimate the causal effect of policy interventions with observational data. The method is widely used, as…

stat.ME2017

On mitigating the analytical limitations of finely stratified experiments

Colin B. Fogarty

While attractive from a theoretical perspective, finely stratified experiments such as paired designs suffer from certain analytical limitations not present in block-randomized exp…