2024
Sigman, M.E.; Williams, M.R.; Tang, L.; Booppasiri, S.; Prakash, N., “In silico created fire debris data for Machine learning”. Forensic Chemistry (2024) Vol. 42. https://doi.org/10.1016/j.forc.2024.100633
2023
Zhu, X.; Slawski, M.; Tang, L. “A framework for covariate-specific ROC curve estimation, with application to biometric recognition” The Annuals of Applied Statistics (2023) Vol. 17(4) https://doi.org/10.1214/23-AOAS1738
Simpson, A.; Semhar, M.; Brochert, D.; Saunders, C.; Tang, L. “Modeling subpopulations for hierarchically structured data” Statistical Analysis and Data Mining (2023) https://doi.org/10.1002/sam.11650
Jeckeln, G.; Hu, Y.; Cavazos, J. G. et al ” Face identification proficiency test designed using item response theory” Behavior Research Methods (2023) https://doi.org/10.3758/s13428-023-02092-7
2022
Wang, J.; Zhao, Y.; Tang, L.; Mueller, C.; Li, Q. “A resample-replace lasso procedure for combining high-dimensional markers with limit of detection” (2022) https://doi.org/10.1080/02664763.2021.1977785
Hahn, C. A.; Tang, L.; Yates, A. N.; Phillips, P. J. “Forensic facial examiners versus super-recognizers: Evaluating behavior beyond accuracy” Applied Cognitive Psychology (2022) Vol. 36 (6), p1209 – 1218. https://doi.org/10.1002/acp.4003
2021
Zhu, X.; Slawski, M.; Phillips, P. J.; Tang, L. “Order-Constrained ROC Regression With Application to Facial Recognition”. Technometrics (2021) Vol. 63(3) p343 – 353. https://doi.org/10.1080/00401706.2020.1785549
Zhang, W.; Liu, A.; Tang, L.; Li, Q. “A Cluster-Adjusted Rank-Based Test for a Clinical Trial Concerning Multiple Endpoints with Application to Dietary Intervention Assessment.” Biometrics (2021) Vol. 77(2), p780. https://doi.org/10.1111/biom.13497
2019
Yuan, Q.; Tang, L.; Yang, F.; Brant, D. “An exploration of SSAs disability determination process with multi-stage DEA method.” Journal of Modeling in Management (2019) Vol.14(3), p590 – 609. https://doi.org/10.1108/JM2-11-2018-0182