| Temporal relationship between vitamin D status and parathyroid hormone in the United States MH Kroll, C Bi, CC Garber, HW Kaufman, D Liu, A Caston-Balderrama, ... PloS one 10 (3), e0118108, 2015 | 212 | 2015 |
| Multivariate meta-analysis of heterogeneous studies using only summary statistics: efficiency and robustness D Liu, RY Liu, M Xie Journal of the American Statistical Association 110 (509), 326-340, 2015 | 101 | 2015 |
| Residuals and diagnostics for ordinal regression models: a surrogate approach D Liu, H Zhang Journal of the American Statistical Association 113 (522), 845-854, 2018 | 97 | 2018 |
| Exact meta-analysis approach for discrete data and its application to 2× 2 tables with rare events D Liu, RY Liu, M Xie Journal of the American Statistical Association 109 (508), 1450-1465, 2014 | 91 | 2014 |
| Residuals and Diagnostics for Binary and Ordinal Regression Models: An Introduction to the sure Package. BM Greenwell, AJ McCarthy, BC Boehmke, D Liu R J. 10 (1), 381, 2018 | 34 | 2018 |
| Meta‐analysis framework for exact inferences with application to the analysis of rare events G Yang, D Liu, J Wang, M Xie Biometrics 72 (4), 1378-1386, 2016 | 34 | 2016 |
| Efficient network meta-analysis: A confidence distribution approach G Yang, D Liu, RY Liu, M Xie, DC Hoaglin Statistical Methodology 20, 105-125, 2014 | 20 | 2014 |
| Assessing partial association between ordinal variables: quantification, visualization, and hypothesis testing D Liu, S Li, Y Yu, I Moustaki Journal of the American Statistical Association 116 (534), 955-968, 2021 | 19 | 2021 |
| Does an observed zero-total-event study contain information for inference of odds ratio in meta-analysis? M Xie, J Kolassa, D Liu, R Liu, S Liu Statistics and its Interface 11 (2), 327-337, 2018 | 16 | 2018 |
| Relative efficiency of using summary versus individual data in random-effects meta-analysis DG Chen, D Liu, X Min, H Zhang Biometrics 76 (4), 1319-1329, 2020 | 15 | 2020 |
| Nonparametric fusion learning for multiparameters: Synthesize inferences from diverse sources using data depth and confidence distribution D Liu, RY Liu, M Xie Journal of the American Statistical Association 117 (540), 2086-2104, 2022 | 14 | 2022 |
| Meta‐Analysis of Rare Events D Liu Wiley StatsRef: Statistics Reference Online, 2019 | 10 | 2019 |
| sure: Surrogate residuals for ordinal and general regression models B Greenwell, A McCarthy, B Boehmke, D Liu R Package Version 0.2. 0. Available online: https://CRAN. R-project. org …, 2017 | 10 | 2017 |
| A new goodness‐of‐fit measure for probit models: Surrogate R2 D Liu, X Zhu, B Greenwell, Z Lin British Journal of Mathematical and Statistical Psychology 76 (1), 192-210, 2023 | 8 | 2023 |
| Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence H Zhang, D Liu, J Zhao, X Bi The annals of applied statistics 12 (4), 2359, 2018 | 8 | 2018 |
| Combining information for heterogeneous studies and rare events studies: a confidence distribution approach D Liu Rutgers The State University of New Jersey, School of Graduate Studies, 2012 | 8 | 2012 |
| Exact Inference Methods for Rare Events D Liu, R Liu, M Xie Wiley StatsRef: Statistics Reference Online, 1-6, 2018 | 7* | 2018 |
| PAsso: an R Package for Assessing Partial Association between Ordinal Variables. S Li, X Zhu, Y Chen, D Liu R J. 13 (2), 135, 2021 | 5 | 2021 |
| Nonparametric fusion learning: synthesize inferences from diverse sources using depth confidence distribution D Liu, RY Liu, M Xie arXiv preprint arXiv:2011.07047, 2020 | 3 | 2020 |
| Incorporating heterogeneous parent–child environmental effects in biometrical genetic models X Guo, D Liu, C Wen, M He, X Wang Statistics in Medicine 32 (20), 3501-3508, 2013 | 2 | 2013 |
Minge XieRutgers在 stat.rutgers.edu 的电子邮件经过验证
