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Qingyuan Zhao
Qingyuan Zhao
Verified email at statslab.cam.ac.uk - Homepage
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Cited by
Year
SEISMIC: A self-exciting point process model for predicting tweet popularity
Q Zhao, MA Erdogdu, HY He, A Rajaraman, J Leskovec
Proceedings of the 21th ACM SIGKDD international conference on knowledgeá…, 2015
6392015
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 48 (3), 1742-1769, 2020
3392020
Causal interpretations of black-box models
Q Zhao, T Hastie
Journal of Business & Economic Statistics 39 (1), 272-281, 2021
2912021
Entropy balancing is doubly robust
Q Zhao, D Percival
Journal of Causal Inference 5 (1), 2017
2362017
Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption
J Bowden, M Fabiola Del Greco, C Minelli, D Lawlor, Q Zhao, N Sheehan, ...
International Journal of Epidemiology, 159442, 2018
1732018
Covariate balancing propensity score by tailored loss functions
Q Zhao
Annals of Statistics 47 (2), 965-993, 2019
1092019
Confounder adjustment in multiple hypothesis testing
J Wang, Q Zhao, T Hastie, AB Owen
Annals of Statistics 45 (5), 1863-1894, 2017
1072017
Mendelian randomization
E Sanderson, MM Glymour, MV Holmes, H Kang, J Morrison, MR Munaf˛, ...
Nature Reviews Methods Primers 2 (1), 1-21, 2022
782022
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 Methodologyá…, 2019
762019
Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization
Q Zhao, C Yang, J Wang, DS Small
International Journal of Epidemiology 48 (5), 1478-1492, 2019
72*2019
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
51*2021
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, ...
Nature communications 11 (1), 1-11, 2020
442020
Two-sample instrumental variable analyses using heterogeneous samples
Q Zhao, J Wang, W Spiller, J Bowden, DS Small
Statistical Science 34 (2), 317-333, 2019
352019
On sensitivity value of pair-matched observational studies
Q Zhao
Journal of the American Statistical Association 114 (526), 713-722, 2019
322019
Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments
J Wang, Q Zhao, J Bowden, G Hemani, G Davey Smith, DS Small, ...
PLoS genetics 17 (6), e1009575, 2021
272021
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
Q Zhao, N Ju, S Bacallado, R Shah
Annals of Applied Statistics 15 (1), 363-390, 2020
252020
Cross-screening in observational studies that test many hypotheses
Q Zhao, DS Small, PR Rosenbaum
Journal of the American Statistical Association 113 (523), 1070-1084, 2018
252018
Analysis of the epidemic growth of the early 2019-nCoV outbreak using internationally confirmed cases
Q Zhao, Y Chen, DS Small
MedRxiv, 2020
242020
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 10, e58361, 2021
18*2021
Mendelian randomisation with coarsened exposures
MJ Tudball, J Bowden, RA Hughes, A Ly, MR Munaf˛, K Tilling, Q Zhao, ...
Genetic epidemiology 45 (3), 338-350, 2021
162021
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