University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization.
– Int J Epidemiol
(2019)
48,
1478
(DOI: 10.1093/ije/dyz142)
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)
Causal Interpretations of Black-Box Models
– Journal of Business and Economic Statistics
(2019)
1
Multiple testing when many $p$-values are uniformly conservative, with
application to testing qualitative interaction in educational interventions
– Journal of the American Statistical Association
(2019)
114,
1291
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
– Int J Epidemiol
(2019)
48,
728
(DOI: 10.1093/ije/dyy258)
Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples
– Statistical Science
(2019)
34,
317
(DOI: 10.1214/18-sts692)
On Sensitivity Value of Pair-Matched Observational Studies
– Journal of the American Statistical Association
(2019)
114,
713
Covariate balancing propensity score by tailored loss functions
– The Annals of Statistics
(2019)
47,
965
(DOI: 10.1214/18-aos1698)
Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?
– Statistical Science
(2019)
34,
72
(DOI: 10.1214/18-sts680)
Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate.
– Medical Care
(2018)
57,
1
(DOI: 10.1097/mlr.0000000000001040)
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