Publications

Zixuan Wu, Ethan Lewis, Qingyuan Zhao, Jingshu Wang (2024). Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization.

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Zijun Gao, Wenjie Hu, Qingyuan Zhao (2024). A constructive approach to selective risk control.

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F Richard Guo, Qingyuan Zhao (2023). Confounder selection via iterative graph expansion.

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Zijun Gao, Qingyuan Zhao (2023). Simultaneous Hypothesis Testing Using Internal Negative Controls with An Application to Proteomics.

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Tobias Freidling, Qingyuan Zhao (2023). Sensitivity Analysis with the $R^2$-calculus.

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Yao Zhang, Qingyuan Zhao (2022). Bounds and semiparametric inference in $L^.Inf$- and $L^2$-sensitivity analysis for observational studies.

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Katarzyna Reluga, Ting Ye, Qingyuan Zhao (2022). A unified analysis of regression adjustment in randomized experiments. Electronic Journal of Statistics (2024).

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F Richard Guo, Anton Rask Lundborg, Qingyuan Zhao (2022). Confounder selection: Objectives and approaches.

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Matt Tudball, George Davey Smith, Qingyuan Zhao (2022). Almost exact Mendelian randomization.

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Zijun Gao, Trevor Hastie, Qingyuan Zhao (2022). PathGPS: Discover shared genetic architecture using biobank data. Biometrics (2024+, in press).

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Yao Zhang, Qingyuan Zhao (2022). What is a randomization test?. Journal of the American Statistical Association.

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Eleanor Sanderson, M. Maria Glymour, Michael V. Holmes, Hyunseung Kang, Jean Morrison, Marcus R. Munafò, Tom Palmer, C. Mary Schooling, Chris Wallace, Qingyuan Zhao, George Davey Smith (2022). Mendelian randomization. Nature Reviews Methods Primers.

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Jun Shao, Ting Ye, Qingyuan Zhao (2021). Comment on FDA draft guidance for industry FDA-2019-D-0934: Adjusting for covariates in randomized clinical trials for drugs and biological products.

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Yao Zhang, Qingyuan Zhao (2021). Multiple conditional randomization tests.

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Qingyuan Zhao (2021). Small Data, Big Time—A retrospect of the first weeks of COVID-19. Journal of the Royal Statistical Society (Series A, Statistics in Society).

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Etaash Katiyar, Qingyuan Zhao (2021). On testing mean proportionality of multivariate normal variables.

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Alec Christie, ..., Qingyuan Zhao, William Sutherland (2020). Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. Nature Communications.

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Ting Ye, Jun Shao, Yanyao Yi, Qingyuan Zhao (2020). Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials. Journal of the American Statistical Association (in press).

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Qingyuan Zhao, Luke Keele, Dylan Small, Marshall Joffe (2020). A note on post-treatment selection in studying racial discrimination in policing. American Political Science Review (in press).

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Matt Tudball, Jack Bowden, Rachael Hughes, Amanda Ly, Marcus Munafo, Kate Tilling, Qingyuan Zhao, George Davey Smith (2020). Mendelian randomization with coarsened exposures. Genetic Epidemiology (2021).

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Sergio Bacallado, Qingyuan Zhao, Nianqiao Ju (2020). Letter to the editor: Generation interval for COVID-19 based on symptom onset data. Eurosurveillance.

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Daniel Iong, Qingyuan Zhao, Yang Chen (2020). A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization.

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Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan Small, Nancy Zhang (2020). Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. PLOS Genetics (2021).

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Qingyuan Zhao, Phyllis Ju, Sergio Bacallado, Rajen Shah (2020). BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Annals of Applied Statistics (2021).

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Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan Small (2020). ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. Observational Studies (2021).

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Chin Yang Shapland, Qingyuan Zhao, Jack Bowden (2020). Profile-likelihood Bayesian model averaging for two-sample summary data Mendelian randomization in the presence of horizontal pleiotropy. Statistics in Medicine.

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Qingyuan Zhao, Yang Chen, Dylan Small (2020). Analysis of the epidemic growth of the early 2019-nCoV outbreak using internationally confirmed cases.

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Matthew Tudball, Rachael Hughes, Kate Tilling, Jack Bowden, Qingyuan Zhao (2019). Sample-constrained partial identification with application to selection bias. Biometrika.

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Qingyuan Zhao, Jingshu Wang, Zhen Miao, Nancy Zhang, Sean Hennessy, Dylan Small, Daniel Rader (2019). A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. eLife.

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Bo Zhang, Jordan Weiss, Dylan Small, Qingyuan Zhao (2019). Selecting and ranking individualized treatment rules with unmeasured confounding. Journal of the American Statistical Association (2020+).

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Qingyuan Zhao, Luke Keele, Dylan Small (2018). Comment: Will competition-winning methods for causal inference also succeed in practice?. Statistical Science (2019).

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Qingyuan Zhao, Snigdha Panigrahi (2018). Selective inference for effect modification: An empirical investigation. Observational Studies (2019).

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Yang Song, Qingyuan Zhao (2018). Performance evaluation with latent factors.

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Luke Keele, Qingyuan Zhao, Rachel Kelz, Dylan Small (2018). Falsification tests for instrumental variable designs with an application to tendency to operate. Medical Care (2019).

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Qingyuan Zhao, Dylan Small (2018). Graphical diagnosis of confounding bias in instrumental variables analysis. Epidemiology (2018).

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Qingyuan Zhao, Yang Chen, Jingshu Wang, Dylan Small (2018). Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization. International Journal of Epidemiology (2019).

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Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Debbie Lawlor, Qingyuan Zhao, Nuala Sheehan, John Thompson, George Davey Smith (2018). Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. International Journal of Epidemiology (2019).

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Qingyuan Zhao, Jingshu Wang, Gibran Hemani, Jack Bowden, Dylan Small (2018). Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Annals of Statistics (2020).

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Qingyuan Zhao, Dylan Small, Bhaswar Bhattarcharya (2017). Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. Journal of the Royal Statistical Society (Series B) (2019).

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Qingyuan Zhao, Jingshu Wang, Wes Spiller, Jack Bowden, Dylan Small (2017). Two-sample instrumental variable analyses using heterogeneous samples. Statistical Science (2019).

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Qingyuan Zhao, Dylan Small, Ashkan Ertefaie (2017). Selective inference for effect modification via the lasso. Journal of the Royal Statistical Society: Series B (Statistical Methodology).

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Qingyuan Zhao, Dylan Small, Weijie Su (2017). Multiple testing when many $p$-values are uniformly conservative. Journal of the American Statistical Association (2019).

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Qingyuan Zhao, Trevor Hastie, Daryl Pregibon (2017). Estimation and prediction in sparse and unbalanced tables.

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Qingyuan Zhao, Dylan Small, Paul Rosenbaum (2017). Cross-screening in observational studies that test many hypotheses. Journal of the American Statistical Association (2018).

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Qingyuan Zhao (2017). On sensitivity value of pair-matched observational studies. Journal of the American Statistical Association (2019).

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Qingyuan Zhao, Trevor Hastie (2016). Causal interpretations of black-box models. Journal of Business & Economic Statistics (2019).

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Qingyuan Zhao, Charles Zheng, Trevor Hastie, Robert Tibshirani (2016). Comment on 'Causal inference using invariant prediction'. Journal of the Royal Statistical Society (Series B) (2016).

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Hera Y He, Kinjal Basu, Qingyuan Zhao, Art B Owen (2016). Permutation $p$-value approximation via generalized Stolarsky invariance. Annals of Statistics (2019).

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Qingyuan Zhao (2016). Covariate balancing propensity score by tailored loss functions. Annals of Statistics (2019).

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Jingshu Wang, Qingyuan Zhao, Trevor Hastie, Art Owen (2015). Confounder adjustment in multiple hypothesis testing. Annals of Statistics (2017).

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Qingyuan Zhao, Murat A Erdogdu, Hera Y He, Anand Rajaraman, Jure Leskovec (2015). SEISMIC: A self-exciting point process model for predicting tweet popularity. ACM KDD (2015).

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Qingyuan Zhao, Daniel Percival (2015). Entropy balancing is doubly robust. Journal of Causal Inference (2016).

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