skip to content

Department of Pure Mathematics and Mathematical Statistics

University Lecturer in Statistics.

 

Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.

Publications

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
Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples
Q Zhao, J Wang, W Spiller, J Bowden, DS Small
– Statistical Science
(2019)
34,
317
Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate
L Keele, Q Zhao, RR Kelz, D Small
– Medical Care
(2019)
57,
167
Permutation $p$-value approximation via generalized Stolarsky invariance
HY He, K Basu, Q Zhao, AB Owen
– The Annals of Statistics
(2019)
47,
583
Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?
Q Zhao, LJ Keele, DS Small
– Statistical Science
(2019)
34,
72
Covariate balancing propensity score by tailored loss functions
Q Zhao
– The Annals of Statistics
(2019)
47,
965
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
(2018)
48,
728
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
(2018)
114,
1291
Defining Multimorbidity in Older Surgical Patients.
JH Silber, JG Reiter, PR Rosenbaum, Q Zhao, DS Small, BA Niknam, AS Hill, LL Hochman, RR Kelz, LA Fleisher
– Medical Care
(2018)
56,
701
On Sensitivity Value of Pair-Matched Observational Studies
Q Zhao
– Journal of the American Statistical Association
(2018)
114,
713
  • <
  • 4 of 5
  • >

Room

D1.01

Telephone

01223 337995