Balancing covariates via propensity score weighting F Li, KL Morgan, AM Zaslavsky Journal of the American Statistical Association 113 (521), 390-400, 2018 | 841 | 2018 |
Addressing extreme propensity scores via the overlap weights F Li, LE Thomas, F Li American journal of epidemiology 188 (1), 250-257, 2019 | 485 | 2019 |
Overlap weighting: a propensity score method that mimics attributes of a randomized clinical trial L Thomas, F Li, M Pencina Journal of American Medical Association 323 (23), 2417-2418, 2020 | 361 | 2020 |
Propensity score weighting with multilevel data F Li, AM Zaslavsky, MB Landrum Statistics in medicine 32 (19), 3373-3387, 2013 | 302 | 2013 |
Bayesian variable selection in structured high-dimensional covariate spaces with applications in genomics F Li, NR Zhang Journal of the American statistical association 105 (491), 1202-1214, 2010 | 234 | 2010 |
Propensity score weighting for causal inference with multiple treatments F Li, F Li Annals of Applied Statistics 13 (4), 2389-2415., 2019 | 142 | 2019 |
Using Propensity Score Methods to Create Target Populations in Observational Clinical Research L Thomas, F Li, M Pencina JAMA 323 (5), 466-467, 2020 | 140 | 2020 |
Causal Inference: A missing data perspective P Ding, F Li Statistical Science 33 (2), 214-237, 2018 | 138 | 2018 |
Reduction in healthcare services during the COVID-19 pandemic in China YN Zhang, Y Chen, Y Wang, F Li, M Pender, N Wang, F Yan, XH Ying, ... BMJ global health 5 (11), e003421, 2020 | 96 | 2020 |
Transcatheter Versus Surgical Aortic Valve Replacement: Propensity-Matched Comparison Journal of the American College of Cardiology 70 (4), 439-450, 2017 | 96 | 2017 |
An empirical comparison of multiple imputation methods for categorical data O Akande, F Li, J Reiter The American Statistician 71 (2), 162-170, 2017 | 90 | 2017 |
Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression F Li, T Zhang, Q Wang, MZ Gonzalez, EL Maresh, JA Coan Annals of Applied Statistics 9 (2), 687-713, 2015 | 81 | 2015 |
A bracketing relationship between difference-in-differences and lagged-dependent-variable adjustment P Ding, F Li Political Analysis 27 (4), 605-615, 2019 | 78 | 2019 |
A Bayesian semiparametric approach to intermediate variables in causal inference SL Schwartz, F Li, F Mealli Journal of the American Statistical Association 106 (496), 1331-1344, 2011 | 78 | 2011 |
Evaluating the causal effect of university grants on student dropout: evidence from a regression discontinuity design using principal stratification F Li, A Mattei, F Mealli Annals of Applied Statistics 9 (4), 1906-1931, 2015 | 63* | 2015 |
Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey A Mercatanti, F Li Annals of Applied Statistics 8 (4), 2485-2508, 2014 | 61 | 2014 |
Counterfactual representation learning with balancing weights S Assaad, S Zeng, C Tao, S Datta, N Mehta, R Henao, F Li, L Carin International Conference on Artificial Intelligence and Statistics, 1972-1980, 2021 | 58 | 2021 |
Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program A Mattei, F Li, F Mealli Annals of Applied Statistics 7 (4), 2336-2360, 2013 | 55 | 2013 |
Propensity Score Weighting for Covariate Adjustment in Randomized Clinical Trials S Zeng, F Li, R Wang, F Li Statistics in Medicine 40 (4), 842-858, 2021 | 49 | 2021 |
Social bonds do not mediate the relationship between early adversity and adult glucocorticoids in wild baboons S Rosenbaum, S Zeng, FA Campos, LR Gesquiere, J Altmann, SC Alberts, ... Proceedings of the National Academy of Sciences 117 (33), 20052-20062, 2020 | 47 | 2020 |