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Statistical Laboratory

Publications

Letter to the editor: Generation interval for COVID-19 based on symptom onset data
S Bacallado, Q Zhao, N Ju
– Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
(2020)
25,
16
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
Q Zhao, J Wang, G Hemani, J Bowden, DS Small
– 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
– Int J Epidemiol
(2019)
48,
1478
Causal Interpretations of Black-Box Models
Q Zhao, T Hastie
– Journal of Business & Economic Statistics
(2019)
39,
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
Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples
Q Zhao, J Wang, W Spiller, J Bowden, DS Small
– Statistical Science
(2019)
34,
317
Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?
Q Zhao, LJ Keele, DS Small
– Statistical Science
(2019)
34,
72
Permutation $p$-value approximation via generalized Stolarsky invariance
HY He, K Basu, Q Zhao, AB Owen
– The Annals of Statistics
(2019)
47,
583
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Frontpage talks

Cambridge Statistics Clinic

Cambridge Statistics Clinic

22
Oct
16:30 - 17:30: Title to be confirmed
Peter Whittle Lecture

22
Oct
16:30 - 17:30: Title to be confirmed
Peter Whittle Lecture

23
Oct
14:00 - 15:30: Title to be confirmed
Statistics

Research Group

Statistical Laboratory

Room

D1.01

Telephone

01223 337995