| Principal stratification analysis using principal scores P Ding, J Lu Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2016 | 112 | 2016 |
| Continuous monitoring of A/B tests without pain: Optional stopping in Bayesian testing A Deng, J Lu, S Chen Proceedings of the 3rd IEEE International Conference on Data Science and …, 2016 | 80 | 2016 |
| Trustworthy analysis of online A/B tests: Pitfalls, challenges and solutions A Deng, J Lu, J Litz Proceedings of the 10th ACM International Conference on Web Search and Data …, 2017 | 42 | 2017 |
| Treatment effects on ordinal outcomes: Causal estimands and sharp bounds J Lu, P Ding, T Dasgupta Journal of Educational and Behavioral Statistics 43 (5), 540-567, 2018 | 38* | 2018 |
| Covariate adjustment in randomization-based causal inference for 2ᴷ factorial designs J Lu Statistics & Probability Letters 119, 11-20, 2016 | 38 | 2016 |
| On randomization-based and regression-based inferences for 2ᴷ factorial designs J Lu Statistics and Probability Letters 112, 72-78, 2016 | 36 | 2016 |
| A note on type S/M errors in hypothesis testing J Lu, Y Qiu, A Deng British Journal of Mathematical and Statistical Psychology 72 (1), 1-17, 2018 | 35 | 2018 |
| Applying the Delta method in metric analytics: A practical guide with novel ideas A Deng, U Knoblich, J Lu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 32 | 2018 |
| Concise summarization of heterogeneous treatment effect using total variation regularized regression A Deng, P Zhang, S Chen, DW Kim, J Lu arXiv preprint arXiv:1610.03917, 2016 | 23 | 2016 |
| On heavy-user bias in A/B testing Y Wang, S Gupta, J Lu, A Mahmoudzadeh, S Liu Proceedings of the 28th ACM International Conference on Information and …, 2019 | 15 | 2019 |
| Novelty and primacy: A long-term estimator for online experiments S Sadeghi, S Gupta, S Gramatovici, J Lu, H Ai, R Zhang Technometrics 64 (4), 524-534, 2022 | 13 | 2022 |
| On post-selection inference in A/B tests A Deng, Y Li, J Lu, V Ramamurthy Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 8* | 2021 |
| Sharp bounds on the relative treatment effect for ordinal outcomes J Lu, Y Zhang, P Ding Biometrics 76 (2), 664-669, 2019 | 8 | 2019 |
| Demystifying the bias from selective inference: A revisit to Dawid's treatment selection problem J Lu, A Deng Statistics & Probability Letters 118, 8-15, 2016 | 7 | 2016 |
| Construction of alternative hypotheses for randomization tests with ordinal outcomes J Lu, P Ding, T Dasgupta Statistics & Probability Letters 107, 348-355, 2015 | 7 | 2015 |
| On the partial identification of a new causal measure for ordinal outcomes J Lu Statistics & Probability Letters 137, 1-8, 2018 | 4 | 2018 |
| Sharpening randomization-based causal inference for 2² factorial designs with binary outcomes J Lu Statistical Methods in Medical Research 28 (4), 1064-1078, 2017 | 3 | 2017 |
| On randomization-based causal inference for matched-pair factorial designs J Lu, A Deng Statistics & Probability Letters 125, 99-103, 2017 | 3 | 2017 |
| The equivalence of the Delta method and the cluster-robust variance estimator for the analysis of clustered randomized experiments A Deng, J Lu, W Qin arXiv preprint arXiv:2105.14705, 2021 | 1 | 2021 |
| On finite-population Bayesian inferences for 2ᴷ factorial designs with binary outcomes J Lu Journal of Statistical Computation and Simulation 89 (5), 927-945, 2019 | 1 | 2019 |
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