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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

Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials
T Ye, J Shao, Y Yi, Q Zhao
– Journal of the American Statistical Association
(2022)
1
Mendelian randomization
E Sanderson, MM Glymour, MV Holmes, H Kang, J Morrison, MR Munafò, T Palmer, CM Schooling, C Wallace, Q Zhao, G Davey Smith
– Nature Reviews Methods Primers
(2022)
2,
6
Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy
CY Shapland, Q Zhao, J Bowden
– Statistics in Medicine
(2022)
41,
1100
Selective inference for effect modification via the lasso
Q Zhao, DS Small, A Ertefaie
– Journal of the Royal Statistical Society: Series B (Statistical Methodology)
(2021)
84,
382
A Note on Posttreatment Selection in Studying Racial Discrimination in Policing
Q Zhao, LJ Keele, DS Small, MM Joffe
– American Political Science Review
(2021)
116,
337
Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.
J Wang, Q Zhao, J Bowden, G Hemani, G Davey Smith, DS Small, NR Zhang
– PLoS Genet
(2021)
17,
e1009575
A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease.
Q Zhao, J Wang, Z Miao, NR Zhang, S Hennessy, DS Small, DJ Rader
– Elife
(2021)
10,
e58361
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
BETS: THE DANGERS OF SELECTION BIAS IN EARLY ANALYSES OF THE CORONAVIRUS DISEASE (COVID-19) PANDEMIC
Q Zhao, N Ju, S Bacallado, RD Shah
– Annals of Applied Statistics
(2021)
15,
363
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Research Groups

Statistical Laboratory
Statistics

Room

D1.01

Telephone

01223 337995