Year |
Citation |
Score |
2022 |
Cao X, Gregory K, Wang D. Inference for sparse linear regression based on the leave-one-covariate-out solution path. Communications in Statistics: Theory and Methods. 52: 6640-6657. PMID 37840573 DOI: 10.1080/03610926.2022.2032171 |
0.335 |
|
2020 |
Wang D, Mou X, Li X, Huang X. Local polynomial regression for pooled response data. Journal of Nonparametric Statistics. 32: 814-837. PMID 33762800 DOI: 10.1080/10485252.2020.1834104 |
0.306 |
|
2020 |
Wang D, Tang CF, Tebbs JM. More powerful goodness-of-fit tests for uniform stochastic ordering. Computational Statistics & Data Analysis. 144. PMID 32863494 DOI: 10.1016/J.Csda.2019.106898 |
0.399 |
|
2019 |
Tang CF, Wang D, El Barmi H, Tebbs JM. Testing for positive quadrant dependence. The American Statistician. 2019. PMID 33132398 DOI: 10.1080/00031305.2019.1607554 |
0.481 |
|
2019 |
Lin J, Wang D, Zheng Q. Regression analysis and variable selection for two-stage multiple-infection group testing data. Statistics in Medicine. PMID 31297869 DOI: 10.1002/Sim.8311 |
0.488 |
|
2018 |
Hou P, Tebbs JM, Wang D, McMahan CS, Bilder CR. Array testing for multiplex assays. Biostatistics (Oxford, England). PMID 30371749 DOI: 10.1093/Biostatistics/Kxy058 |
0.468 |
|
2018 |
Gregory KB, Wang D, McMahan CS. Adaptive elastic net for group testing. Biometrics. PMID 30267535 DOI: 10.1111/Biom.12973 |
0.543 |
|
2018 |
Wang D, McMahan CS, Tebbs JM, Bilder CR. Group testing case identification with biomarker information. Computational Statistics & Data Analysis. 122: 156-166. PMID 29977101 DOI: 10.1016/J.Csda.2018.01.005 |
0.465 |
|
2018 |
Lin J, Wang D. Single-index regression for pooled biomarker data Journal of Nonparametric Statistics. 30: 813-833. DOI: 10.1080/10485252.2018.1483501 |
0.446 |
|
2017 |
Tang CF, Wang D, Tebbs JM. NONPARAMETRIC GOODNESS-OF-FIT TESTS FOR UNIFORM STOCHASTIC ORDERING. Annals of Statistics. 45: 2565-2589. PMID 29353943 DOI: 10.1214/16-Aos1535 |
0.37 |
|
2017 |
Russell BT, Wang D, McMahan CS. Spatially Modeling the Effects of Meteorological Drivers of PM2.5 in the Eastern United States via a Local Linear Penalized Quantile Regression Estimator. Environmetrics. 28. PMID 29081678 DOI: 10.1002/Env.2448 |
0.306 |
|
2015 |
Wang D, McMahan CS, Gallagher CM. A general regression framework for group testing data, which incorporates pool dilution effects. Statistics in Medicine. PMID 26173957 DOI: 10.1002/Sim.6578 |
0.617 |
|
2014 |
Wang D, McMahan CS, Gallagher CM, Kulasekera KB. Semiparametric group testing regression models Biometrika. 101: 587-598. DOI: 10.1093/Biomet/Asu007 |
0.617 |
|
2013 |
Wang D, Zhou H, Kulasekera KB. A semi-local likelihood regression estimator of the proportion based on group testing data Journal of Nonparametric Statistics. 25: 209-221. DOI: 10.1080/10485252.2012.750726 |
0.454 |
|
2012 |
Wang D, Kulasekera KB. Parametric component detection and variable selection in varying-coefficient partially linear models Journal of Multivariate Analysis. 112: 117-129. DOI: 10.1016/J.Jmva.2012.05.006 |
0.34 |
|
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