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Faculty of Mathematics

 

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.
Q Zhao, Y Chen, J Wang, DS Small
– Int J Epidemiol
(2019)
48,
1478
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Q Zhao, DS Small, BB Bhattacharya
– Journal of the Royal Statistical Society: Series B (Statistical Methodology)
(2019)
81,
735
Causal Interpretations of Black-Box Models
Q Zhao, T Hastie
– 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
Q Zhao, DS Small, W Su
– Journal of the American Statistical Association
(2019)
114,
1291
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
J Bowden, F Del Greco M, C Minelli, Q Zhao, DA Lawlor, NA Sheehan, J Thompson, G Davey Smith
– Int J Epidemiol
(2019)
48,
728
Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples
Q Zhao, J Wang, W Spiller, J Bowden, DS Small
– Statistical Science
(2019)
34,
317
On Sensitivity Value of Pair-Matched Observational Studies
Q Zhao
– Journal of the American Statistical Association
(2019)
114,
713
Covariate balancing propensity score by tailored loss functions
Q Zhao
– The Annals of Statistics
(2019)
47,
965
Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?
Q Zhao, LJ Keele, DS Small
– Statistical Science
(2019)
34,
72
Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate.
L Keele, Q Zhao, RR Kelz, D Small
– Medical Care
(2018)
57,
1
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Research Groups

Statistical Laboratory
Statistics

Room

D1.01