Propensity score matching and subclassification in observational studies with multi‐level treatments S Yang, GW Imbens, Z Cui, DE Faries, Z Kadziola Biometrics 72 (4), 1055-1065, 2016 | 153 | 2016 |
Causal inference methods for combining randomized trials and observational studies: a review B Colnet, I Mayer, G Chen, A Dieng, R Li, G Varoquaux, JP Vert, J Josse, ... Statistical science 39 (1), 165-191, 2024 | 104 | 2024 |
Combining multiple observational data sources to estimate causal effects S Yang, P Ding Journal of the American Statistical Association, 2019 | 82 | 2019 |
A review of spatial causal inference methods for environmental and epidemiological applications BJ Reich, S Yang, Y Guan, AB Giffin, MJ Miller, A Rappold International Statistical Review 89 (3), 605-634, 2021 | 81 | 2021 |
Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores S Yang, P Ding Biometrika 105 (2), 487-493, 2018 | 80 | 2018 |
Statistical data integration in survey sampling: A review S Yang, JK Kim Japanese Journal of Statistics and Data Science 3 (2), 625-650, 2020 | 75 | 2020 |
Doubly robust inference when combining probability and non-probability samples with high dimensional data S Yang, JK Kim, R Song Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 73 | 2020 |
Causal inference with confounders missing not at random S Yang, L Wang, P Ding Biometrika 106 (4), 875-888, 2019 | 54 | 2019 |
Fractional imputation in survey sampling: A comparative review S Yang, JK Kim | 52 | 2016 |
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation S Yang, C Gao, D Zeng, X Wang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 41 | 2023 |
Improving trial generalizability using observational studies D Lee, S Yang, L Dong, X Wang, D Zeng, J Cai Biometrics 79 (2), 1213-1225, 2023 | 41 | 2023 |
Propensity score weighting for causal inference with clustered data S Yang Journal of Causal Inference 6 (2), 20170027, 2018 | 41 | 2018 |
Factors associated with parent concern for child weight and parenting behaviors KL Peyer, G Welk, L Bailey-Davis, S Yang, JK Kim Childhood Obesity 11 (3), 269-274, 2015 | 37 | 2015 |
Sensitivity analysis for unmeasured confounding in coarse structural nested mean models S Yang, J Lok Statistica Sinica, doi:10.5705/ss.202016.0133, 2017 | 35 | 2017 |
Multiply robust estimation of causal effects under principal ignorability Z Jiang, S Yang, P Ding Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 34 | 2022 |
A note on multiple imputation for method of moments estimation S Yang, JK Kim Biometrika 103 (1), 244-251, 2016 | 31 | 2016 |
Semiparametric estimation of structural failure time models in continuous-time processes S Yang, K Pieper, F Cools Biometrika 107 (1), 123-136, 2020 | 29 | 2020 |
Improved inference for heterogeneous treatment effects using real-world data subject to hidden confounding S Yang, D Zeng, X Wang arXiv preprint arXiv:2007.12922, 2020 | 28 | 2020 |
Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework S Yang, JK Kim Scandinavian Journal of Statistics 47 (3), 839-861, 2020 | 26 | 2020 |
Multiply robust matching estimators of average and quantile treatment effects S Yang, Y Zhang Scandinavian Journal of Statistics 50 (1), 235-265, 2023 | 25 | 2023 |