Office Phone: (803) 777-6387
Fax: (803) 777-4048
Email Address: wangl@stat.sc.edu
Teaching:
Research Interests:
Publications:
Grant Support
STAT 740: Statistical Computing (Falls 2022, 2021, 2019, 2015, 2013; Springs 2012, 2010)
STAT 509: Statistics for Engineers (Falls 2023, 2022, 2020, 2019, 2017, 2016, 2015, 2011, 2010, 2009; Springs 2024, 2023, 2022, 2020, 2019, 2017, 2016, 2009)
STAT 771 (BIOS 770): Applied Longitudinal Data Analysis (Springs 2021, 2019, 2017, 2015)
STAT 761: Reliability and Life Testing (Falls 2021, 2017)
STAT 517: Advanced Statistical Models (Falls 2020, 2018, 2014)
STAT 515: Statistical Methods (Falls 2018, 2016, 2014, 2013, 2012, 2011; Springs 2016, 2013, 2012)
STAT 823: Large Sample Theory (Spring 2014)
STAT 201: Elementary Statistics (Fall 2012)
STAT 540: Computing in Statistics (Falls 2023, 2010; Spring 2024)
STAT 511: Probability (Fall 2008)
L. Sun, L. Wang, and J. Sun (2006). "Estimation of the Association for Bivariate Interval-censored Failure Time Data". Scandinavian Journal of Statistics, Vol. 33, 637-649.
L. Wang, L. Sun, and J. Sun (2006). "A Goodness-of-fit Test for the Marginal Cox Model for Correlated Interval-censored Failure Time Data". Biometrical Journal, 5, 1-9.
L. Wang, J. Sun, and X. Tong (2008). "Efficient Estimation for Bivariate Current Status Data". Lifetime Data Analysis, 14, 134-153.
L. Wang and D. Dunson (2010). "Semiparametric Bayes Multiple testing: Application to Tumor Data". Biometrics, 66, 493-501.
X. Lin and L. Wang (2010). "A Semiparametric Probit Model for Case 2 Interval-censored Failure Time Data". Statistics in Medicine, 29, 972-981.
L. Wang, J. Sun, and X. Tong (2010). "Regression Analysis of Case II Interval-censored Failure Time Data with the Additive Hazards Model". Statistica Sinica, 20, 1709-1723.
L. Wang and D. Dunson (2011). "Semiparametric Bayes Proportional Odds Models for Current Status Data with Under-reporting". Biometrics, 67, 1111-1118.
L. Wang and D. Dunson (2011). "Fast Bayesian Inference in Dirichlet Process Mixture Models". Journal of Computational and Graphical Statistics, 20, 196-216.
L. Wang and X. Lin (2011). "A Bayesian approach for analyzing case 2 interval-censored failure time data under the semiparametric proportional odds model". Statistics and Probability Letters, 81, 876-883.
X. Lin and L. Wang (2011). "Bayesian proportional odds models for analyzing current status data: univariate, clustered, and multivariate". Communications in Statistics - Simulation and Computation, 40, 1171-1181.
B. Cai, X. Lin, and L. Wang (2011). "Bayesian proportional hazards model for current status data with monotone splines". Computational Statistics and Data Analysis, 55, 2644-2651.
L. Wang and D. Dunson (2011). "Bayesian Isotonic Density Regression". Biometrika, 98, 537-551.
L. Wang, X. Lin, and B. Cai (2012). "Bayesian semiparametric regression analysis of interval-censored Data with monotone splines", in Interval-Censored Time-to-Event Data: Methods and Applications, eds. D. Chen, J. Sun, and K. Peace, pp. 149-165.
C. McMahan, L. Wang, and J. Tebbs (2013). "Regression analysis of current status data using EM algorithm". Statistics in Medicine, 32, 4452-4466.
C. Pan, B. Cai, L. Wang, and X. Lin (2014). "Bayesian Semi-Parametric Model for Spatial Interval-Censored Survival Data". Computational Statistics and Data Analysis. 74, 198-208.
X. Lin, B. Cai, L. Wang and Z. Zhang (2014). "A Bayesian proportional hazards model for general interval-censored data". Lifetime Data Analysis. Online Early. 10.1007/s10985-014-9305-9.
Wang, N., Wang, L. and McMahan, C. (2015). "Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm", Computational Statistics and Data Analysis. 82, 140-150.
L. Wang, C. McMahan, M. Hudgens, Z. P. Qureshi (2016) "A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data". Biometrics, 72:222-231.
B. Yao, L. Wang, and X. He. (2016). "Semiparametric regression analysis of panel count data allowing for within-subject correlation". Computational Statistics and Data Analysis, 97:47-59.
C. Pan, B. Cai, L. Wang (2017). "Multivariate Frailty Model for Clustered Interval-Censored Data with Frailty Selection", Statistical Methods in Medical Research, Jun; 26(3):1308-1322.
P. Wickramasingha, C. McMahan, L. Wang, and W. Tu (2018). "A Gamma-frailty proportional hazards model for bivariate interval-censored data". Computational Statistics and Data Analysis. 128, 354-366.
H. Wu, and L. Wang (2019). "Normal Frailty Probit Model for Clustered Interval-censored Failure Time Data". Biometrical Journal. 61: 827-840.
L. Sun, S. Li, L. Wang, and X. Song (2019) "Variable selection in semiparametric non-mixture cure model with interval-censored failure time data: an application to the prostate cancer study". Statistics in Medicine. 38: 3026-3039.
C. Pan, B. Cai, L. Wang, and X. Lin (2019). ICBayes: A package of Bayesian semiparametric regression for interval-censored data. Communications in Statistics - Simulation and Computation. Online early. https://doi.org/10.1080/03610918.2019.1687720.
E. Gu, J. Zhang, W. Lu, L. Wang, F. Felizzi (2020). "Semiparametric Estimation of the Cure Fraction in Population-based Cancer Survival Analysis". Statistics in Medicine. Online early. https://doi.org/10.1002/sim.8693. .
Q. Liu, J. Hodge, J. Wang, Y. Wang, L. Wang, U. Singh, Y. Li, Y. Yao, D. Wang, W. Ai, P. Nagarkatti, H. Chen, P. Xu, E.A. Murphy, and D. Fan (2020) "Emodin reduces breast cancer lung metastasis by suppressing macrophage-induced breast cancer cell epithelial mesenchymal transition and cancer stem cell formation". Theranostics 2020; 10:8365-8381. doi:10.7150/thno.45395.
Pan, B. Cai, and L. Wang (2020) "A Bayesian approach for analyzing partly interval-censored data under the proportional hazards model". Statistical Methods in Medical Research. Stat Methods Med Res. 2020 May 22:962280220921552. doi: 10.1177/0962280220921552.
L. Wang and L. Wang (2020) "EM algorithm for analyzing right-censored data under the semiparametric proportional odds model". Communications in Statistics – Theory and Methods. DOI: 10.1080/03610926.2020.1837879.
L. Sun, S. Li, L. Wang, and X. Song (2021). "A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup". Statistical Methods in Medical Research. 2021 July Doi:10.1177/09622802211023985.
L. Wang and L. Wang (2021). "Regression analysis of arbitrarily censored survival data under the proportional odds model". Statistics in Medicine. 40: 3724-3739. DOI: 10.1002/sim.8994.
L. Sun, S. Li, L. Wang, X. Song, M. Sui (2022). "Simultaneous variable selection for joint models of multivariate interval-censored data". Biometrics 78:1402–1413.
L. Wang, L. Wang, and X. Lin (2022) "Bayesian inferences for panel count data and interval-censored data with nonparametric modeling of the baseline functions". Edited in book "Bayesian Inference and Computation in Reliability and Survival Analysis" by Professors Yuhlong Lio, Ding-Geng (Din) Chen, Hon Keung Tony Ng and Tzong- Ru Tsai. Pages: 299-322.
W. Zhang, Z. Ma, L. Wang, D. Fan and Y. Ho (2023). "Genome-wide search algorithms for identifying dynamic gene co-expression via Bayesian variable selection ". Statistics in Medicine 42:5616–5629.
M. Chakrabarti, K. Jiao, J.D. Potts, L. Wang, S. Branch, S. Harrelson, S. Khan, Mohamad Azhar (2023). "Hippo signaling mediates TGFß-dependent transcriptional inputs in cardiac cushion mesenchymal cells to regulate extracellular matrix remodeling". Journal Cardiovascular Development and Disease 10(12):483. doi: 10.3390/jcdd10120483.
P. Withana Gamage, C. McMahan, L. Wang (2023). "A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model". Lifetime Data Analysis. 29:188–212.
L. Sun, S. Li, L. Wang, X. Song, W. Tu (2024+). "An EM algorithm for fitting transformation cure rate frailty models to multivariate interval-censored data". Under revision.
L. Wang C. Wang, X. Lin, and L. Wang (2024+). "Bayesian regression analysis of panel count data under frailty nonhomogeneous Poisson process model with an unknown frailty distribution". Under revision.
Y. Mao, L. Wang, and X. Sui (2024+). "Bayesian joint analysis of longitudinal data and interval-censored failure time data" Under review.
X. Zhi, X. Lin, and L. Wang (2024+) "A new data augmentation method for
Bayesian semiparametric proportional hazards model analyzing arbitrarily censored data" Under review.
S. Li, T. Hu, L. Wang, C. McMahan, and J. Tebbs (2024+). "Regression Analysis of Group-Tested Current Status Data". To appear at Biometrika.
1UT1AA030690-01, Developing natural compound emodin as a therapy for alcoholic cardiomyopathy. PI: Dr. Wayne Carver (Professor and Chair of the Department of Cell Biology and Anatomy). My role: co-investigator. Amount: $456,840. Funding period: 03/15/2023 - 02/28/2025.
R01CA218578, Emodin as a Chemopreventive Agent for Breast Cancer. PI: Dr. Daping Fan (Department of Cell Biology & Anatomy), my role: co-investigator. Amount: $1,871,344. Funding period: 04/01/2018 - 03/31/2023.
R21CA216230, Impact of macrophage PCSK9 on breast cancer. PI: Daping Fan. Role: Co-investigator. Amount: $293,700. Funding period: 03/01/2017 - 04/30/2019.
Establishing Screening Strategies for Prostate Cancer Patients. USC ASPIRE II grant. 11550-15-39357. Role: co-PI. PI: Dr. Zaina Qureshi. Amount: $99,786. Funding period: May 2015 - January 2017.
Statistical methodological development for sexually transmitted infections. USC Social Science Grant Program. 13080-13-31713. Role: PI. Amount: $19,026. Funding period: May 2013 - August 2015.
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