| Estimation with missing data: beyond double robustness P Han, L Wang Biometrika 100 (2), 417-430, 2013 | 179 | 2013 |
| Multiply robust estimation in regression analysis with missing data P Han Journal of the American Statistical Association 109 (507), 1159-1173, 2014 | 144 | 2014 |
| Dysregulation of the IL-23/IL-17 axis and myeloid factors in secondary progressive MS AK Huber, L Wang, P Han, X Zhang, S Ekholm, A Srinivasan, DN Irani, ... Neurology 83 (17), 1500-1507, 2014 | 64 | 2014 |
| COVID-19 risk factors and mortality outcomes among medicare patients receiving long-term dialysis S Salerno, JM Messana, GW Gremel, C Dahlerus, RA Hirth, P Han, ... JAMA network open 4 (11), e2135379-e2135379, 2021 | 62 | 2021 |
| A further study of the multiply robust estimator in missing data analysis P Han Journal of Statistical Planning and Inference 148, 101-110, 2014 | 58 | 2014 |
| Covid-19 pandemic and lockdown impacts: a description in a longitudinal study of bipolar disorder AK Yocum, Y Zhai, MG McInnis, P Han Journal of affective disorders 282, 1226-1233, 2021 | 57 | 2021 |
| Combining inverse probability weighting and multiple imputation to improve robustness of estimation P Han Scandinavian Journal of Statistics 43 (1), 246-260, 2016 | 54 | 2016 |
| Empirical Likelihood Estimation Using Auxiliary Summary Information with Different Covariate Distributions P Han, J Lawless Statistica Sinica, 2019 | 40 | 2019 |
| A general framework for quantile estimation with incomplete data P Han, L Kong, J Zhao, X Zhou Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2019 | 35 | 2019 |
| Intrinsic efficiency and multiple robustness in longitudinal studies with drop-out P Han Biometrika 103 (3), 683-700, 2016 | 32 | 2016 |
| Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods J Du, J Boss, P Han, LJ Beesley, M Kleinsasser, SA Goutman, ... Journal of Computational and Graphical Statistics 31 (4), 1063-1075, 2022 | 27 | 2022 |
| Data integration with oracle use of external information from heterogeneous populations Y Zhai, P Han Journal of Computational and Graphical Statistics 31 (4), 1001-1012, 2022 | 25 | 2022 |
| A note on improving quadratic inference functions using a linear shrinkage approach P Han, PXK Song Statistics & probability letters 81 (3), 438-445, 2011 | 25 | 2011 |
| Late chronotype predicts more depressive symptoms in bipolar disorder over a 5 year follow-up period P Vidafar, AK Yocum, P Han, MG McInnis, HJ Burgess International Journal of Bipolar Disorders 9, 1-9, 2021 | 19 | 2021 |
| Reducing food insecurity and improving fruit and vegetable intake through a nutrition incentive program in Michigan, USA CA Parks, P Han, HE Fricke, HA Parker, OB Hesterman, AL Yaroch SSM-population health 15, 100898, 2021 | 18 | 2021 |
| NMR-based metabolomic profiling of urine: Evaluation for application in prostate cancer detection N MacKinnon, W Ge, P Han, J Siddiqui, JT Wei, T Raghunathan, ... Natural Product Communications 14 (5), 1934578X19849978, 2019 | 17 | 2019 |
| Data integration: exploiting ratios of parameter estimates from a reduced external model JMG Taylor, K Choi, P Han Biometrika 110 (1), 119-134, 2023 | 15 | 2023 |
| A unified empirical likelihood approach for testing MCAR and subsequent estimation S Zhang, P Han, C Wu Scandinavian Journal of Statistics 46, 272-288, 2019 | 15 | 2019 |
| Calibration and Multiple Robustness When Data Are Missing Not At Random P Han Statistica Sinica 28, 1725-1740, 2018 | 15 | 2018 |
| Doubly robust and locally efficient estimation with missing outcomes P Han, L Wang, PXK Song Statistica Sinica, 691-719, 2016 | 15 | 2016 |
Lu WangProfessor, University of MichiganVerified email at umich.edu
