Zhou, Lan
individual record
Associate Professor
Positions:
- Associate Professor, Statistics, College of Science
overview
My research focuses on statistical methodology and application in bioinformatics, nutrition, biostatistics and epidemiology, and functional/longitudinal data analysis.
education and training
- Ph.D. in Statistics, University of California, Berkeley - (Berkeley, California, United States) 1997
selected publications
Academic Articles38
- Mukherjee, R., Beykal, B., Szafran, A. T., Onel, M., Stossi, F., Mancini, M. G., ... Pistikopoulos, E. N. (2020). Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms.. PLoS Comput Biol. 16(9), e1008191-e1008191.
- Onel, M., Beykal, B., Ferguson, K., Chiu, W. A., McDonald, T. J., Zhou, L., ... Pistikopoulos, E. N. (2019). Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization.. PLoS One. 14(10), e0223517-e0223517.
- Najibi, S. M., Maadooliat, M., Zhou, L., Huang, J. Z., & Gao, X. (2017). Protein Structure Classification and Loop Modeling Using Multiple Ramachandran Distributions*. 15, 243-254.
- Sang, W., Speakmon, M., Zhou, L., Wang, Y. u., Lei, C., Pillai, S. D., & Zhu-Salzman, K (2016). Detrimental effects of electron beam irradiation on the cowpea bruchid Callosobruchus maculatus.. Pest Manag Sci. 72(4), 787-795.
- Maadooliat, M., Zhou, L., Najibi, S. M., Gao, X., & Huang, J. Z. (2016). Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling. 111(513), 43-56.
Chapters2
- Mukherjee, R., Onel, M., Beykal, B., Szafran, A. T., Stossi, F., Mancini, M. A., ... Pistikopoulos, E. N. (2019). Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis.. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 29th European Symposium on Computer Aided Process Engineering. 967-972. Elsevier.
- (2018). Optimal Chemical Grouping and Sorbent Material Design by Data Analysis, Modeling and Dimensionality Reduction Techniques.. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 28th European Symposium on Computer Aided Process Engineering. 421-426. Elsevier.
Conference Papers3
- Martinez, J. G., Liang, F., Zhou, L., & Carroll, R. J (2015). Longitudinal functional principal component modeling via Stochastic Approximation Monte Carlo.. Can J Stat. 38(2), 256-270.
- Assaad, H., Yao, K., Bazer, F. W., Zhou, L., Carroll, R. J., Meininger, C. J., & Wu, G (2013). Analysis of energy expenditure in diet-induced obese rats with abnormal metabolism of amino acids. AMINO ACIDS. 45(3), 597-597.
- Huang, J. Z., Wu, C. O., & Zhou, L. (2004). Polynomial spline estimation and inference for varying coefficient models with longitudinal data. 14(3), 763-788.
researcher on
recent teaching activities
- STAT302 Statistical Methods Instructor
- STAT482 Statistics Capstone Instructor
- STAT648 Applied Stat & Data Analys Instructor
- STAT684 Professional Internship Instructor
- STAT684 Professional Internshp Instructor
chaired theses and dissertations
- Chen, Shuai (2015-05). Statistical Inference for Medical Costs and Incremental Cost-effectiveness Ratios with Censored Data. (Doctoral Dissertation)
- Chen, Shuai (2012-05). Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data. (Master's Thesis)
- Pan, Huijun 1987- (2011-08). Bivariate B-splines and its Applications in Spatial Data Analysis. (Doctoral Dissertation)
Email
lzhou@tamu.edu
First Name
Lan
Last Name
Zhou
mailing address
Texas A&M University; Department Of Statistics; 3143 TAMU
College Station, TX 77843-3143
USA