Papers
An exact, adaptive test with superior design sensitivity
Optimal matching of an optimal subset in observational studies
A New U-statistic with Superior Design Sensitivity in Observational Studies
Some Approximate Evidence Factors in Observational Studies
Using Split Samples and Evidence Factors
Using the CrossMatch Test to Appraise Covariate Balance in Matched Pairs
Design Sensitivity and Efficiency in Observational Studies
Evidence Factors in Observational Studies
Amplification of Sensitivity Analysis
Split Samples and Design Sensitivity in Observational Studies
Sensitivity analysis for equivalence and difference
Error-Free Milestones in Error-Prone Measurements
Testing hypotheses in order Tapered Matching
Aberrant Effects of Treatment Group Randomized Experiments
Uncommon but dramatic treatment effects
Minimum Distance Matched Sampling with Fine Balance
Interference Between Units in Randomized Experiments
Sensitivity Analysis for m-estimates
Differential Effects and Generic Biases in Observational Studies
GMM vs R-estimation: A Theoretical Case Study of Validity and Efficiency
Exact, Distribution-Free Multivariate Test Based on Adjacency
Dose Errors Case^2 Studies Heterogeneity and Causality Robust, Accurate IV
Design Sensitivity in Observational Studies The Case-Only Odds Ratio as a Causal Parameter
Randomization Inference with Imperfect Compliance Matching with Two Control Groups
Optimal Matching Before Randomization Exact Confidence Intervals for Nonconstant Effects
Does a Dose Response Relationship Reduce Sensitivity to Hidden Bias?
Covariance Adjustment in Randomized Experiments and Observational Studies
Attributing Effects to Treatment in Matched Observational Studies
Effects Attributable to Treatment Matching with Doses Balanced Risk Set Matching
Stability in the Absence of Treatment Matching and Thick Description
Asymptotic Separability in Sensitivity Analysis