Papers
Some counterclaims undermine themselves in observational studies
Large sparse optimal matching with refined covariate balance
Constructed second control groups and attenuation of unmeasured biases
Bahadur efficiency of sensitivity analyses in observational studies
How to see more in observational studies Isolation in the construction of natural experiments
Weighted m-statistics with superior design sensitivity Testing the validity of an instrumental variable
Template matching Matching for balance, pairing for heterogeneity
Clustered treatment assignment Case definition and design sensitivity Earthquake Effect modification
Sparse nominal covariates Building a stronger IV
Stronger IV Multiple controls and design sensitivity Using the exterior match Using differential effects
Interference in fMRI Contrast evidence within/between Testing one hypthesis twice in observational studies
An exact, adaptive test with superior design sensitivity
Optimal matching of an optimal subset in observational studies
Optimal matching with minimal deviation from fine balance
A New U-statistic with Superior Design Sensitivity in Observational Studies
Some Approximate Evidence Factors in Observational Studies
Using Split Samples and Evidence Factors
Sparse nominal covariates Building a stronger IV
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