# Publications

(2022). Confounder selection: Objectives and approaches.

(2022). Almost exact Mendelian randomization.

(2022). Mendelian randomization. Nature Reviews Methods Primers.

(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).

(2020). Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials. Journal of the American Statistical Association (in press).

(2020). A note on post-treatment selection in studying racial discrimination in policing. American Political Science Review (in press).

(2020). Mendelian randomization with coarsened exposures. Genetic Epidemiology (2021).

(2020). Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.. PLOS Genetics (2021).

(2020). BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Annals of Applied Statistics (2021).

(2019). Sample-constrained partial identification with application to selection bias. Biometrika.

(2019). A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. eLife.

(2019). Selecting and ranking individualized treatment rules with unmeasured confounding. Journal of the American Statistical Association (2020+).

(2018). Selective inference for effect modification: An empirical investigation. Observational Studies (2019).

(2018). Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization. International Journal of Epidemiology (2019).

(2018). Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. International Journal of Epidemiology (2019).

(2018). Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Annals of Statistics (2020).

(2017). Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. Journal of the Royal Statistical Society (Series B) (2019).

(2017). Two-sample instrumental variable analyses using heterogeneous samples. Statistical Science (2019).

(2017). Selective inference for effect modification via the lasso. Journal of the Royal Statistical Society: Series B (Statistical Methodology).

(2017). Multiple testing when many $p$-values are uniformly conservative. Journal of the American Statistical Association (2019).

(2017). Cross-screening in observational studies that test many hypotheses. Journal of the American Statistical Association (2018).

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

(2016). Causal interpretations of black-box models. Journal of Business & Economic Statistics (2019).

(2016). Comment on 'Causal inference using invariant prediction'. Journal of the Royal Statistical Society (Series B) (2016).

(2016). Permutation $p$-value approximation via generalized Stolarsky invariance. Annals of Statistics (2019).

(2015). Confounder adjustment in multiple hypothesis testing. Annals of Statistics (2017).

(2015). SEISMIC: A self-exciting point process model for predicting tweet popularity. ACM KDD (2015).

(2015). Entropy balancing is doubly robust. Journal of Causal Inference (2016).