I joined the Biostatistics faculty at Emory in 2005 as Rollins Assistant Professor. My methodological research has been mainly focused in survival analysis, dynamic regression, and nonparametric and semiparametric inference with my recent work tackling their overlalps with causal inference, latent class analysis, and high-dimensional statistical learning. I have also worked on developing new statistical methods driven by scientific investigations in Cystic Fibrosis, Mental Health, Environmental Health and Neurology. My methodological research programs have been supported by both NSF and NIH grants.
My collaborative research spans over areas including Diabetes, Cystic Fibrosis, Neorology, and other chronic diseases.
Contact Information
Rollins School of Public Health , 1518 Clifton Road NE
Atlanta , GA 30322
Phone: (404) 727-7701
Fax: (404) 727-1370
Email: lpeng@emory.edu
Areas of Interest
- Biostatistics
- Causal Inference
- Chronic Diseases
- Clinical Research
- Longitudinal Analysis
- Statistical Modeling
- Statistical Theory
- Survival Analysis
Education
- PhD 2005, University of Wisconsin - Madison
Courses Taught
- BIOS 710: Probability Theory II
Publications
- Cui, Y., Peng, L. Hu, Y., and Lai, H., 2021, Assessing the reproducibility for microbiome measurements based on concordance correlation coefficients, Journal of the Royal Statistical Society, Series C , ,
- *Wei, B., Peng, L., Zhang, M-J, and Fine, J. P. , 2021, Estimation of causal quantile effects with a binary instrumental variable and censored data, Journal of the Royal Statistical Society, Series B, ,
- *Ma, H., Peng, L. and Fu, H., 2021, Heterogeneous individual risk modeling of recurrent events, Biometrika, 108, 183-198
- *Zheng, Q., Peng, L., and He, X., 2016, Globally Adaptive Quantile Regression with Ultra-High Dimension Data, Annals of Statistics, (in press),
- *Sun, X., Peng, L., Huang, Y., and Lai, H-C, 2015, Generalizing Quantile Regression for Counting Processes with Applications to Recurrent Events, Journal of the American Statistical Association, (accepted),
- *Li, R. and Peng, L., 2015, Quantile Regression Adjusting for Dependent Censor- ing from Semi-Competing Risks, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 77, 107-130
- Peng, L., Li, R., Guo, Y., and Manatunga, A., 2011, A Framework for Assessing Broad Sense Agreement Between Ordinal and Continuous Measurements, Journal of the American Statistical Association, 106, 1592--1601
- *Li, R. and Peng, L., 2010, Quantile regression for left-truncated semi-competing risks data, Biometrics, 67, 701-710
- *Qian, J. and Peng, L., 2010, Quantile regression with partially functional effects, Biometrika, 97, 839-850
- Peng, L. and Fine, J. P. , 2009, Competing risks quantile regression, Journal of the American Statistical Association, 104, 1140-1453
- Peng, L., Wuu, J., and Benatar, M., 2009, Developing reference data for nerve conduction studies: An introduction of quantile regression, Muscle and Nerve, 40, 763-771
- Peng, L. and Ross, H, 2009, The impact of cigarette taxes taxes and advertising on the demand for cigarettes in Ukraine, Central European Journal of Public Health , 17, 93-98
- Peng, L., Jiang, H., Chappell, R.J., and Fine, J.P. , 2008, An overview of the Semi-Competing Risks Problem, Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinfomatics, Wiley, Chapter 11
- Peng, L. and Fine, J.P., 2008, Nonparametric Tests for Continuous Covariate Effects with Multistate Survival Data, Biometrics, 64, 1080-1089
- Peng, L. and Huang, Y., 2008, Survival analysis based on quantile regression, Journal of the American Statistical Association, 103, 637-649
- Peng, L. and Fine, J. P., 2007, Nonparametric quantile inference with competing risks, Biometrika, 94, 735-744
- Peng, L. and Fine, J. P., 2007, Regression modeling of semi-competing risks data, Biometrics , 63, 96-108
- Peng, L. and Huang, Y., 2007, Survival analysis with temporal covariate effects, Biometrika, 94, 719-733
- Peng, L. and Fine, J. P., 2006, Nonparametric estimation with left truncated semi-competing risks data, Biometrika, 93, 367-383
- Peng, L. and Fine, J. P. , 2006, Rank estimation of accelerated lifetime models with dependent censoring, Journal of the American Statistical Association , 101, 1085-1093
- Zhao, L. and Peng, L., , Model selection for canonical correlation analysis, Acta Mathematicae Applicatae Sinica, 17, 539-549
- Zhao, L. and Peng, L., , Model selection under order restriction, Statistics and Probability Letters, 57, 301-306