University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding
– Journal of the American Statistical Association
(2020)
116,
295
Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization.
– International journal of epidemiology
(2019)
48,
1478
(doi: 10.1093/ije/dyz142)
Causal Interpretations of Black-Box Models
– Journal of Business and Economic Statistics
(2019)
39,
272
Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2019)
81,
735
(doi: 10.1111/rssb.12327)
Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples
– Statistical Science
(2019)
34,
317
(doi: 10.1214/18-sts692)
Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate
– Med Care
(2019)
57,
167
(doi: 10.1097/mlr.0000000000001040)
Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?
– Statistical Science
(2019)
34,
72
(doi: 10.1214/18-sts680)
Permutation $p$-value approximation via generalized Stolarsky invariance
– The Annals of Statistics
(2019)
47,
583
(doi: 10.1214/18-AOS1702)
Covariate balancing propensity score by tailored loss functions
– The Annals of Statistics
(2019)
47,
965
(doi: 10.1214/18-aos1698)
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
– International Journal of Epidemiology
(2018)
48,
728
(doi: 10.1093/ije/dyy258)
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