Zhou, Lan
individual record
Associate Professor
Positions:
- Associate Professor, Statistics, College of Arts and Sciences
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 Articles40
- Shin, Y. E., Zhou, L., & Ding, Y. u. (2022). Joint Estimation of Monotone Curves via Functional Principal Component Analysis.. Comput Stat Data Anal. 166, 107343-107343.
- 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.. Comput Struct Biotechnol J. 15, 243-254.
- Huang, J. Z., Wang, X., Wu, X., & Zhou, L. (2016). Estimation of a probability density function using interval aggregated data. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. 86(15), 3093-3105.
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.. 29th European Symposium on Computer Aided Process Engineering. 967-972. Elsevier.
- Onel, M., Beykal, B., Wang, M., Grimm, F. A., Zhou, L., Wright, F. A., ... Pistikopoulos, E. N. (2018). Optimal Chemical Grouping and Sorbent Material Design by Data Analysis, Modeling and Dimensionality Reduction Techniques.. 28th European Symposium on Computer Aided Process Engineering. 421-426. Elsevier.
Conference Papers3
- 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.
- Martinez, J. G., Liang, F., Zhou, L., & Carroll, R. J. (2010). Longitudinal functional principal component modeling via Stochastic Approximation Monte Carlo.. Can J Stat. 38(2), 256-270.
- Huang, J. Z., Wu, C. O., & Zhou, L. (2004). Polynomial spline estimation and inference for varying coefficient models with longitudinal data. Statistica Sinica. 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