Publications

Refereed Journal Papers (∗ student under my supervision, † corresponding author)

1.   Jeckeln, G., Hu, Y., Cavazos, J., Yates, A., Hahn, C., Tang, L., O’Toole, A., Phillips, J. (accepted). “Face Identication Prociency Test Design Using Item Response Theory”. Behavior Research Methods

2.   Zhu, X∗, Tang, L., Slawski, M. (accepted) . “Order Constrained ROC Regression with Application to Facial Recognition”. Annals of Applied Statistics.

3.   Hahn, C., Yates, A., Tang, L., Phillips, J. (2022). “Forensic facial examiners vs. super-recognizers: Evaluating behavior beyond accuracy. ” Applied Cognitive Psychology. 36 (6), 1209-1218.

4.   Marasco, E., He, M.∗, Tang, L. (2022). “Demographic-Adapted ROC Curve for Assessing Automated Matching of Latent Fingerprints.” Springer Nature Computer Science. 3 (3), 190.

5.   Chang, J. C., Porcino, J., Rasch, E. K., Tang, L.† (2022). “Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over maximum marginal likelihood.” PLOS One. 17 (4), e0266350.

6.   Baumgarten, B., Thomas, S., Flynn, N., Maric, M., Nguyen, T., Tang, L., Bridge, C. (2022). “Devel- oping a comprehensive analytical protocol for forensic sexual lubricant analysis – Part 1: Implementing a Sexual Lubricant Database for Forensic Casework”. Forensic Chemistry. 27, 100403.

7.   Wang, J., Zhao, Y. , Tang, L., Mueller, C., Li, Q. (2022). “A Resample-Replace Lasso Procedure for Combining High-Dimensional Markers with Limit of Detection”. Journal of Applied Statistics. 49 (16), 4278-4293.

8.   Tang, L., Li, Q., Meng, Z. (2021). “A Powerful Test for Evaluating Group Difference using the ROC Curve.” Statistics in Medicine (Impact Factor: 2.373). 40 (21), 4597-4608.

9.   Winters, K., Rossheim, A., Cristy, B., Newman, R., Tang, L. (2021). “Foundational Study of Fire Debris Interpretation Using Quantitative Measure of Chromatographic Features in Gasoline.” Forensic Chemistry. (Impact Factor: 2.676). 24, 100337.

10.   Baudelet, M., Tang, L., Lucchi, J., Gluck, D.∗ (2021). “Tire classification by elemental signatures using Laser-Induced Breakdown Spectroscopy”. Applied Spectroscopy (Impact Factor: 2.388). 75 (6), 747-752.

11.   Zhuang, M.∗, Tang, L., Yuan, A. (2021). “Nonparametric Within-cluster Resampling Method for ROC Data.” Biostatistics & Epidemiology. 5 (2), 169-188.

12.   Wang, J.∗, Zhao, Y., Tang, L. (2021).“Estimating the AUC with a Graphical Lasso Method for High- dimensional Biomarkers with LOD.” Biostatistics & Epidemiology. 5 (2), 189-206.

13.   Zhu, X∗, Slawski, M., Phillips, P.J., Tang, L. (2021) “Order Constrained ROC Regression with Appli- cation to Facial Recognition”. Technometrics (Impact Factor: 2.988). 63:3, 343-353.

14.   Xuan, Y.∗, Tang, L., Zhu, X.∗ (2021).“Group sequential comparison of positive predictive value curves for correlated biomarker data” Statistics in Medicine (Impact Factor: 2.373). 39 (12), 1732-1745.

15.   Zhang, W, Tang, LL †, Li, Q, Liu, A, Lee, M-LT. (2020) “Order-restricted inference for clustered ROC data with application to fingerprint matching accuracy.” Biometrics (Impact Factor: 2.571). 2020; 76: 863– 873.

16.   Zhang, W., Liu, A., Tang, L., Li, Q. (2019). “A Cluster-Adjusted Rank-Based Test for a Clinical Trial Concerning Multiple Endpoints with Application to Dietary Intervention Assessment.”Biometrics (Impact Factor: 2.571). 75 (3), 821-830.

17.   Yuan, Q.∗, Tang, L.†, Yang, F., Brant, D., Chan, L. (2019). “An exploration of SSAs disability determination process with multi-stage DEA method.” Journal of Modeling in Management, 14 (3), 590-609.

18.   Tolkacz, M, Friedman, J.M., Koizumi, N., Tang, L., Ortiz, J. (2019) “United Network for Organ Sharing Rule Changes and Their Effects on Kidney and Liver Transplant Outcomes”. Experimental and Clinical Transplantation.

19.   Lu, D., Zhou, C., Tang, L., Tan, M., Yuan, A., Chan, L. (2018) “Evaluating accuracy of diagnostic tests without conditional independence assumption.” Statistics in Medicine (Impact Factor: 2.373). 37, 2809-2821.

20.   Vikas, K., Salha R., Wang, D., Wood, E., Salvetti, M., Ristori, G., Tang, L., Bagnato, F., and N. Ikonomidou, V. (2018). “Validating non-linear registration to improve subtraction images for lesion detection and quantification in multiple sclerosis”, Journal of Neuroimaging (Impact Factor: 2.486). 28(1), 70-78.

21.   Zhang, W., Yang, L., Tang, L.L., Liu, A., Mills, J.L., Sun, Y. and Li, Q. (2017). “GATE: an efficient procedure in study of pleiotropic genetic associations”, BMC genomics (Impact Factor: 3.969). 18(1), p.552.

22.   Lerch, J., Walters, S., Tang, L., Taxman, F.S. (2017) “Effectiveness of a computerized motivational intervention on treatment initiation and substance use: Results from a randomized trial”, Journal of Substance Abuse Treatment (Impact Factor: 3.770), 80, 59-66.

23.   Wang, S., Yuan, A., Tang, L., Fang, H, Tan, M., Chan, L. (2017). ”ROC analysis for phase II group sequential basket clinical trial.” International Journal of Statistics in Medical Research. 6, 22-33.

24.   Tang, L., Yuan, A., Collins, J., Che. X., Chan, L. (2017). ”Unified Least Squares Methods for the Evaluation of Diagnostic Tests With the Gold Standard.” Cancer Informatics. 16, 1-12.

25.   Tang, L., Zhang, W., Li, Q., Ye., X.∗, Chan, L. (2016). “Least squares regression methods for clustered ROC data with discrete covariates.” Biometrical Journal (Impact Factor: 2.207). 58, 747-765.

26.   Dong, T.∗, Tang, L., Petricoin, E. F. (2014) “Combining Proteomic Biomarkers with and without the Limit of Detection.” Statistics in Medicine (Impact Factor: 2.373). 33, 1307-1320.

27.   Dong, T.∗, Tang, L., Rosenberger, W. R. (2014) “Optimal Sampling Ratios in Comparative Diagnostic Trials.” Journal of the Royal Statistical Society: Series C (Impact Factor: 1.864). 63, 499-514.

28.   Wooditch, A., Tang, L., Taxman, F. (2014) “Which Criminogenic Need Changes Affect Criminal Offending and Drug Use among Probationers?” Criminal Justice and Behavior (Impact Factor: 2.801). 41, 276-299. (Top 10 Most-Read Article of 2014 from Criminal Justice and Behavior).

29.   Caudy, M., Tang, L., Taxman, F., Wooditch, A. (2014) “Short-term Trajectories of Substance Use in A Sample of Drug-involved Probationers.” Journal of Substance Abuse Treatment (Impact Factor: 3.770). 46(2):202-13.

30.   Tang, L., Caudy, M., Taxman, F. (2013) “Methods for Synthesizing Meta-Analyses.” Computational and Mathematical Methods in Medicine.

31.   Tang, L., Kang, L., Liu, C., Schisterman, E., and Liu, A. (2013) “An Additive Selection of Markers to Improve Diagnostic Accuracy Based on a Discriminatory Measure.” Academic Radiology (Impact Factor: 3.173). 20, 854-862.

32.   Tang, L., Liu, A., Chen, C., Schisterman, E., Zhang, B.,∗Miao, Z. (2013). “Nonparametric ROC Summary Statistics for Correlated Diagnostic Marker Data.” Statistics in Medicine (Impact Factor: 2.373). 32, 2209-2220.

33.   Tang, L., Zhou, X. H. (2013). “A General Framework of Marker Validation Designs with Optimal Allocation to Assess Clinical Utility.” Statistics in Medicine (Impact Factor: 2.373). 32(4), 620-30.

34.   Tang, L., Liu, A., Schisterman, E., Zhou, X. H., Liu, C. (2012). “Homogeneity Tests of Clustered Diagnostic Markers with Applications to the BioCycle Study.” Statistics in Medicine (Impact Factor: 2.373). 31, 3638-3648.

35.   Tang, L. and Zhou, X. H. (2012). “A Semiparametric Separation Curve Approach for Comparing Correlated ROC Data from Multiple Markers.” Journal of Computational and Graphical Statistics (Impact Factor: 2.302). 21 (3) , 662-676.

36.   Palsbo, S., Diao, G., Palsbo G., Tang, L., Rosenberger W. F., Mastal, M. (2011). “Case-Mix Adjust- ment and Enabled Reporting of the Health Care Experiences of Adults with Disabilities.” Archives of Physical Medicine and Rehabilitation (Impact Factor: 3.966). 91(9), 1339-1346.

37.   Tang, L., Ming, T. and Zhou, X. H. (2011). “A Sequential Conditional Probability Ratio Test Proce- dure for Comparing Diagnostic Tests.” Journal of Applied Statistics (Impact Factor: 1.404). 38 (8), 1623-1632.

38.   ∗Dong, T., Tang, L. (2011). “Sequential Diagnostic Trial Designs.” Wiley Interdisciplinary Reviews: Computational Statistics. 3, 79:1-783.

39.   Tang, L. and N. Balakrishnan. (2011). “A Random-Sum Wilcoxon Statistic and Its Application to Analysis of ROC and LROC Data.” Journal of Statistical Planning and Inference. (Impact Factor: 1.111). 141 (1), 335-344.

40.   Tang, L., Du, P., Wu, CQ. (2010). “Compare Diagnostic Tests Using Transformation-invariant Smoothed ROC Curves.” Journal of Statistical Planning and Inference. (Impact Factor: 1.111). 140 (11), 3540-3551.

41.   Tang, L. and Liu, A. (2010). “Sample Size Recalculation in Sequential Diagnostic Trials.” Biostatistics

(Impact Factor: 5.899). 11(1), 151-163.

42.   Tang, L. and Zhou, X. H. (2009). “Semiparametric Inferential Procedures for Comparing Multivariate ROC Curves with Interaction Terms.” Statistica Sinica. (Impact Factor: 1.261). 19, 1203-1221.

43.   Du, P. and Tang, L. (2009). “Transformation-invariant and Nonparametric Monotone Smooth Esti- mation of ROC Curves.” Statistics in Medicine (Impact Factor: 2.373). 28, 349-359.

44.   Tang, L., Emerson, S. and Zhou, X.H. (2008). “Nonparametric and Semiparametric Group Sequential Methods for Comparing Accuracy of Diagnostic Tests.” Biometrics (Impact Factor: 2.571). 64, 1137- 1145.

45.   Tang, L., Schucany, W. and Woodward, W. (2008). “Undercoverage of Wavelet-Based Resampling Confidence Intervals.” Communications in Statistics. (Impact Factor: 1.118). 37, 1307-1315.

Refereed Conference Papers

1. Marasco, E., He, M.∗, Tang, L. (in press) “Accounting for Demographic Differentials in Forensic Error Rate Assessment of Automated Latent Prints Matching via Covariate-Specific ROC Regression.” 5th IAPR International Conference on Computer Vision & Image Processing (CVIP-2020). [Best Paper Award]

2. Marasco, E., Cando, S., Tang, L. (2019), ”Cross-Sensor Evaluation of Textural Descriptors for Inferring Gender from Fingerprints”, Cross Domain Biometric Recognition Workshop at 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

3. Marasco, E., Cando, S., Tang, L. Tabassi, E. (2019), ”Can Liveness Be Automatically Detected from Latent Fingerprints?”, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) Workshop on Image and Video Forensics.

4. Marasco, E., Cando, S., Tang, L., Marcialis, G.L. (2018) “A Look At Non-Cooperative Presentation Attacks in Fingerprint Systems”, IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA) 2018, pp.1-6.

5. Zhu, X.∗, Tang, L., Tabassi, E. (2017, October). “ Repeatability and Reproducibility of Forensic Likelihood Ratio Methods when Sample Size Ratio Varies”. The International Joint Conference on Biometrics (IJCB).

6. Tang, L. (2008). “A Family of Nonparametric Statistics for LROC Curves.” 2008 International Conference on BioMedical Engineering and Informatics, 758-762.

Refereed Book Chapters

1. Gluck, D.∗, Tabassi, E., N. Balakrishnan, Tang, L. (2020). “Likelihood Ratios in Forensics: What They Are and What They Are Not” Statistics and Simulation. Springer International Publishing. Pilz, J., Rasch, D., Melas, V. B., Moder, K. (Eds.).

2.  Xuan, Ye∗, Tang, L. (2015). “Group Sequential Methods for Comparing Correlated Receiver Operating Characteristic Curves”. Applied Statistics in Biomedicine and Clinical Trials Design. Ed. by Z. Chen et al.

3. Caudy, M., Tang, L., Taxman, F. S., Watson, C. (2014). “A Standardized Method for Reviewing Systematic Reviews: An Overview of the Evidence Mapping to Advance Justice Practice (EMTAP) Project.” Systematic Reviews in Criminology: What Have We Learned? Ed. by D. F. Farrington and
   D. Weisburd.

4. Caudy, M., Tang, L., Lerch, J., Ainsworth, S. A., Taxman, F. S. “Reducing Recidivism Through Correctional Programming: Using Meta-Analyses to Inform the RNR Simulation Tool.” (2014). Risk Need Responsivity (RNR): Simulation Strategies to Respond to the Call for a Correctional System that Reduces Recidivism. Ed. by F. S. Taxman and A. Pattavina.

Edited Book

1. Chen, Z., Aiyi, L., Qu, Y., Tang, L., Ting, N. and Tsong, Y. eds. (2015). Applied Statistics in Biomedicine and Clinical Trials Design: Selected Papers from 2013 ICSA/ISBS Joint Statistical Meet- ings, Springer.

Book Reviews

1. Tang, L. (2010). Review of “Statistics Using SPSS: An Integrative Approach” by Sharon Lawner Weinberg and Sarah Knapp Abramowitz. The American Statistician. 64, 361.

2. Tang, L. (2008). Review of “Analyzing Receiver Operating Characteristic Curves with SAS” by Gonen, M. Biometrics. 64, 659.