| Evaluating large-scale propensity score performance through real-world and synthetic data experiments Y Tian, MJ Schuemie, MA Suchard International journal of epidemiology 47 (6), 2005-2014, 2018 | 139 | 2018 |
| How confident are we about observational findings in health care: a benchmark study MJ Schuemie, MS Cepeda, MA Suchard, J Yang, Y Tian, A Schuler, ... Harv Data Sci Rev 2 (1), 10.1162, 2020 | 49 | 2020 |
| Comparative effectiveness of branded vs. generic versions of antihypertensive, lipid-lowering and hypoglycemic substances: a population-wide cohort study Y Tian, B Reichardt, D Dunkler, M Hronsky, WC Winkelmayer, A Bucsics, ... Scientific reports 10 (1), 1-12, 2020 | 34 | 2020 |
| Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis Y Kim, Y Tian, J Yang, V Huser, P Jin, CG Lambert, H Park, SC You, ... Scientific reports 10 (1), 11115, 2020 | 29 | 2020 |
| Performance evaluation of regression splines for propensity score adjustment in post-market safety analysis with multiple treatments Y Tian, E Baro, R Zhang Journal of biopharmaceutical statistics 29 (5), 810-821, 2019 | 8 | 2019 |
| How confident are we about observational findings in health care: a benchmark study. Harvard Data Science Review. 2020; 2 (1) MJ Schuemie, MS Cepeda, MA Suchard, J Yang, Y Tian, A Schuler, ... | 7 | |
| Evaluating the impact of instrumental variables in propensity score models using synthetic and negative control experiments Y Tian, N Pratt, LL Hester, G Hripcsak, MJ Schuemie, MA Suchard arXiv preprint arXiv:2403.14563, 2024 | | 2024 |
| Large Scale Observational Analytics for Clinical Evidence Generation Y Tian University of California, Los Angeles, 2023 | | 2023 |
| Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis Y Tian, Y Kim, J Yang, V Huser, P Jin, C Lambert, H Park, RW Park, ... PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 27, 184-184, 2018 | | 2018 |
| Finding Optimal Propensity Score Estimators Using a Modified Plasmode Simulation Framework Y Tian, M Schuemie, MA Suchard PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 26, 231-231, 2017 | | 2017 |
| How high can we go? Evaluating massively high-dimensional propensity score models in large-scale observational studies Y Tian, MJ Schuemie, MA Suchard | | |
| Synthetic and Negative Control Evaluation Framework for Large-Scale Propensity Score Survival Analysis Y Tian, MJ Schuemie, MA Suchard | | |
| Improved computational tool for OHDSI: Bayesian penalized regression Separating known risk factors among the large number of potential confounders A Nishimura, Y Tian, MA Suchard | | |
