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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

Mendelian randomisation with coarsened exposures
MJ Tudball, J Bowden, RA Hughes, A Ly, MR Munafò, K Tilling, Q Zhao, G Davey Smith
– Genetic Epidemiology
(2021)
45,
338
Statistical Modeling: Returning to its Roots
Q Zhao
– Observational Studies
(2021)
7,
229
Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences
AP Christie, D Abecasis, M Adjeroud, JC Alonso, T Amano, A Anton, BP Baldigo, R Barrientos, JE Bicknell, DA Buhl, J Cebrian, RS Ceia, L Cibils-Martina, S Clarke, J Claudet, MD Craig, D Davoult, A De Backer, MK Donovan, TD Eddy, FM França, JPA Gardner, BP Harris, A Huusko, IL Jones et al.
– Nature communications
(2020)
11,
6377
Letter to the editor: Generation interval for COVID-19 based on symptom onset data.
S Bacallado, Q Zhao, N Ju
– Eurosurveillance
(2020)
25,
2001381
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
Q Zhao, J Wang, G Hemani, J Bowden, DS Small
– The Annals of Statistics
(2020)
48,
1742
A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
D Iong, Q Zhao, Y Chen
(2020)
Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding
B Zhang, J Weiss, DS Small, Q Zhao
– Journal of the American Statistical Association
(2020)
116,
295
Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization
Q Zhao, Y Chen, J Wang, DS Small
– International Journal of Epidemiology
(2019)
48,
1478
Causal Interpretations of Black-Box Models
Q Zhao, T Hastie
– J Bus Econ Stat
(2019)
2019,
272
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
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Research Groups

Statistical Laboratory
Statistics

Room

D1.01

Telephone

01223 337995