| Semiparametric group testing regression models D Wang, CS McMahan, CM Gallagher, KB Kulasekera Biometrika 101 (3), 587-598, 2014 | 38 | 2014 |
| A general regression framework for group testing data, which incorporates pool dilution effects D Wang, CS McMahan, CM Gallagher Statistics in Medicine 34 (27), 3606-3621, 2015 | 25 | 2015 |
| Parametric component detection and variable selection in varying-coefficient partially linear models D Wang, KB Kulasekera Journal of Multivariate Analysis 112, 117-129, 2012 | 25 | 2012 |
| Group testing case identification with biomarker information D Wang, CS McMahan, JM Tebbs, CR Bilder Computational statistics & data analysis 122, 156-166, 2018 | 20 | 2018 |
| Reliability analysis of load-sharing systems with memory D Wang, C Jiang, C Park Lifetime data analysis 25, 341-360, 2019 | 19 | 2019 |
| A semi-local likelihood regression estimator of the proportion based on group testing data D Wang, H Zhou, KB Kulasekera Journal of Nonparametric Statistics 25 (1), 209-221, 2013 | 18 | 2013 |
| Spatially modeling the effects of meteorological drivers of PM2.5 in the Eastern United States via a local linear penalized quantile regression estimator BT Russell, D Wang, CS McMahan Environmetrics 28 (5), e2448, 2017 | 16 | 2017 |
| Array testing for multiplex assays P Hou, JM Tebbs, D Wang, CS McMahan, CR Bilder Biostatistics 21 (3), 417-431, 2020 | 13 | 2020 |
| Nonparametric goodness-of-fit tests for uniform stochastic ordering CF Tang, D Wang, JM Tebbs Annals of statistics 45 (6), 2565, 2017 | 11 | 2017 |
| Adaptive elastic net for group testing KB Gregory, D Wang, CS McMahan Biometrics 75 (1), 13-23, 2019 | 9 | 2019 |
| Single-index regression for pooled biomarker data J Lin, D Wang Journal of Nonparametric Statistics 30 (4), 813-833, 2018 | 8 | 2018 |
| Regression analysis and variable selection for two‐stage multiple‐infection group testing data J Lin, D Wang, Q Zheng Statistics in medicine 38 (23), 4519-4533, 2019 | 7 | 2019 |
| Varying‐coefficient regression analysis for pooled biomonitoring D Wang, X Mou, Y Liu Biometrics 78 (4), 1328-1341, 2022 | 4 | 2022 |
| Testing for positive quadrant dependence CF Tang, D Wang, H El Barmi, JM Tebbs The American Statistician 75 (1), 23-30, 2021 | 3 | 2021 |
| Local polynomial regression for pooled response data D Wang, X Mou, X Li, X Huang Journal of nonparametric statistics 32 (4), 814-837, 2020 | 2 | 2020 |
| Testing against uniform stochastic ordering with paired observations D Wang, CF Tang Bernoulli 27 (4), 2556-2563, 2021 | 1 | 2021 |
| Supplement to “Nonparametric goodness-of-fit tests for uniform stochastic ordering.” C Tang, D Wang, J Tebbs arXiv preprint math.PR/0000000, 2017 | 1 | 2017 |
| A group testing based exploration of age-varying factors in chlamydia infections among Iowa residents Y Li, D Wang, JM Tebbs arXiv preprint arXiv:2404.01469, 2024 | | 2024 |
| Additive partially linear model for pooled biomonitoring data X Mou, D Wang Computational Statistics & Data Analysis 190, 107862, 2024 | | 2024 |
| Inference for sparse linear regression based on the leave-one-covariate-out solution path X Cao, K Gregory, D Wang Communications in Statistics-Theory and Methods 52 (18), 6640-6657, 2023 | | 2023 |
Christopher McmahanClemson UniversityGeverifieerd e-mailadres voor g.clemson.edu
