Which criminogenic need changes are most important in promoting desistance from crime and substance use? A Wooditch, LL Tang, FS Taxman Criminal justice and behavior 41 (3), 276-299, 2014 | 294 | 2014 |
Effectiveness of a computerized motivational intervention on treatment initiation and substance use: Results from a randomized trial J Lerch, ST Walters, L Tang, FS Taxman Journal of substance abuse treatment 80, 59-66, 2017 | 36 | 2017 |
Nonparametric and semiparametric group sequential methods for comparing accuracy of diagnostic tests L Tang, SS Emerson, XH Zhou Biometrics 64 (4), 1137-1145, 2008 | 31 | 2008 |
Short-term trajectories of substance use in a sample of drug-involved probationers MS Caudy, L Tang, A Wooditch, FS Taxman Journal of substance abuse treatment 46 (2), 202-213, 2014 | 28 | 2014 |
A statistical method for synthesizing meta‐analyses LL Tang, M Caudy, F Taxman Computational and Mathematical Methods in Medicine 2013 (1), 732989, 2013 | 26 | 2013 |
Reducing recidivism through correctional programming: Using meta-analysis to inform the RNR simulation tool MS Caudy, L Tang, SA Ainsworth, J Lerch, FS Taxman Simulation strategies to reduce recidivism: Risk Need Responsivity (RNR …, 2013 | 26 | 2013 |
Compare diagnostic tests using transformation-invariant smoothed ROC curves L Tang, P Du, C Wu Journal of statistical planning and inference 140 (11), 3540-3551, 2010 | 23 | 2010 |
A random-sum Wilcoxon statistic and its application to analysis of ROC and LROC data LL Tang, N Balakrishnan Journal of statistical planning and inference 141 (1), 335-344, 2011 | 21 | 2011 |
Transformation‐invariant and nonparametric monotone smooth estimation of ROC curves P Du, L Tang Statistics in medicine 28 (2), 349-359, 2009 | 21 | 2009 |
Sample size recalculation in sequential diagnostic trials LL Tang, A Liu Biostatistics 11 (1), 151-163, 2010 | 16 | 2010 |
Semiparametric inferential procedures for comparing multivariate ROC curves with interaction terms L Tang, XH Zhou Statistica Sinica, 1203-1221, 2009 | 14 | 2009 |
Undercoverage of wavelet-based resampling confidence intervals L Tang, WA Woodward, WR Schucany Communications in Statistics—Simulation and Computation® 37 (7), 1307-1315, 2008 | 14 | 2008 |
A parametric spatial bootstrap L Tang, W Schucany, W Woodward, R Gunst Southern Methodist University, Dallas, Texas, Tech. Rep. SMU-TR-337, 2006 | 13 | 2006 |
Nonparametric ROC summary statistics for correlated diagnostic marker data LL Tang, A Liu, Z Chen, EF Schisterman, B Zhang, Z Miao Statistics in medicine 32 (13), 2209-2220, 2013 | 12 | 2013 |
Forensic facial examiners versus super‐recognizers: Evaluating behavior beyond accuracy CA Hahn, LL Tang, AN Yates, PJ Phillips Applied cognitive psychology 36 (6), 1209-1218, 2022 | 9 | 2022 |
Order-restricted inference for clustered ROC data with application to fingerprint matching accuracy W Zhang, LL Tang, Q Li, A Liu, MLT Lee Biometrics 76 (3), 863-873, 2020 | 9 | 2020 |
Combining markers with and without the limit of detection T Dong, CC Liu, EF Petricoin, LL Tang Statistics in Medicine 33 (8), 1307-1320, 2014 | 9 | 2014 |
A semiparametric separation curve approach for comparing correlated ROC data from multiple markers LL Tang, XH Zhou Journal of Computational and Graphical Statistics 21 (3), 662-676, 2012 | 9 | 2012 |
Face identification proficiency test designed using item response theory G Jeckeln, Y Hu, JG Cavazos, AN Yates, CA Hahn, L Tang, PJ Phillips, ... Behavior Research Methods 56 (3), 1244-1259, 2024 | 8 | 2024 |
A look at non-cooperative presentation attacks in fingerprint systems E Marasco, S Cando, L Tang, L Ghiani, GL Marcialis 2018 Eighth International Conference on Image Processing Theory, Tools and …, 2018 | 8 | 2018 |