Laura Taylor
Professor of Statistics
Department: Mathematics and Statistics
Email: ltaylor18@elon.edu
Phone number: (336) 278-6493
Professional Expertise
Brief Biography
Dr. Laura Taylor has been at Elon University since Fall 2008. She is a Professor of Statistics and serves as the Associate Chair of the Mathematics & Statistics Department. Dr. Taylor primarily teachers courses in the Statistics major. Her research interests include statistics education and recurrent competing risks. Dr. Taylor is the faculty advisor to Elon's chapter of the national statistics honor society, Mu Sigma Rho.
Links
News & Notes
Education
B.S. Mathematics, 2003, Winthrop University
Master of Mathematics, 2004, Winthrop University
Ph.D. Statistics, 2008, University of South Carolina
Courses Taught
COE 3100: Transition Strategies for Statistics Majors
COR 1100: The Global Experience
STS 1100: Introduction to Statistical Reasoning
STS 2120: Statistics in Applications
STS 2130: Survey Sampling Methods
STS 2320: Statistical Modeling
STS 3250: Design and Analysis of Experiments
STS 3270: Statistical Computing for Data Management
STS 3470: Statistical Computing for Simulation and Theory
Publications
Doehler, K., & Taylor, L.L. (2023). Empathy through Data? Student Exploration of Elements of Diversity through Projects in an Introductory Statistics Course. PRIMUS. DOI: https://doi.org/10.1080/10511970.2023.2253962
Taylor, L.L., Doehler, K., VanKrevelen, R., Weaver, M.A., & Trocki, A.D. (2022). A Case Study of Strategies for Intentionally Building Course Community to Support Diverse Learners in an Introductory Statistics Course. Teaching Statistics. 44(2): 48-58. DOI: https://doi.org/10.1111/test.12303
Mazur, K., & Taylor, L. (2020). Student Perceptions of Engagement in Calculus 1. PRIMUS. DOI: 10.1080/10511970.2020.1830453
Beeby, J., Moore, S., Taylor, L., & Nderitu, S. (2020). Effects of a one-time organic fertilizer application on long-term crop and residue yields, and soil quality measurements using biointensive agriculture. Frontiers: Sustainable Food Systems – Agroecology and Ecosystem Services. DOI: https://doi.org/10.3389/fsufs.2020.00067
Lawton, S., & Taylor, L. (2020). Student Perceptions of Engagement in an Introductory Statistics Course. Journal of Statistics Education, 28(1). https://www.tandfonline.com/doi/full/10.1080/10691898.2019.1704201
Coker, J., Heiser, E., & Taylor, L. (2018). Student outcomes associated with short-term and semester study abroad programs. Frontiers: The Interdisciplinary Journal of Study Abroad, XXX(2), 92-105. https://frontiersjournal.org/wp-content/uploads/2018/04/Coker-Heiser-Taylor-XXX-2-Student-Learning-Outcomes.pdf
Doehler, K., & Taylor, L. (2018). Diversity-related projects in an introductory statistics course. In M. A. Sorto, A. White, & L. Guyot (Eds.), Looking back, looking forward. Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10, July, 2018), Kyoto, Japan. Voorburg, The Netherlands: International Statistical Institute. https://icots.info/10/proceedings/pdfs/ICOTS10_C240.pdf?1531364323
Coker, J., Heiser, E., Taylor, L., & Book, C. (2017). Impacts of experiential learning depth and breadth on student outcomes. Journal of Experiential Education, 40(1), 5-23. http://journals.sagepub.com/doi/full/10.1177/1053825916678265
Culp, M., & Taylor, L. (2016). Effect of team-based learning on student perception of team member characteristics. Journal of Radiologic Science & Education. 21(2), 27-38.
Taylor, L., Doehler, K., & Smith, J. (2016). The development and factor structure of the Faculty Perceptions of Statistics (FPS) scale. International Journal of Learning, Teaching and Educational Research, 15(2). https://www.ijlter.org/index.php/ijlter/article/view/566/260
Taylor, L. L., & Doehler, K. A. (2015). Reinforcing sampling distributions through a randomization-based activity for introducing ANOVA. Journal of Statistics Education, 23(3). https://www.tandfonline.com/doi/abs/10.1080/10691898.2015.11889750
Doehler, K., & Taylor, L. (2015). Incorporating code-based software in an introductory statistics course. International Journal of Mathematical Education in Science and Technology, 46(6), 841-852. https://www.tandfonline.com/doi/abs/10.1080/0020739X.2015.1014942
Taylor, L., & Doehler, K. (2014). Using online surveys to promote and assess learning. Teaching Statistics, 36(2), 34-40. https://onlinelibrary.wiley.com/doi/abs/10.1111/test.12045
Taylor, L. L., & Peña, E. A. (2013). Nonparametric estimation in a recurrent competing risks model. Lifetime Data Analysis. DOI 10.1007/s10985-013-9280-6. *Invited manuscript to a special issue on Competing Risks.
Taylor, L. L., & Peña, E. A. (2013). Parametric estimation in a recurrent competing risks model. Journal of the Iranian Statistical Society, 12(1). *Invited manuscript to a special issue on Recurrent Events.
Doehler, K., Taylor, L., & Smith, J. (2013). A study of faculty views of statistics and student preparation beyond an introductory class. Journal of Statistics Education, 21(1).
Taylor, L. (2012). Competing risks in basketball… competing risks in basketball… competing risks in basketball. CHANCE, 25(2), 31-36.
Peña, E. A., & Taylor, L. L. (2008). Non- and semi-parametric models and inference for reliability systems. In E. Melnick & B. Everitt (Eds.), Encyclopedia of Quantitative Risk Assessment, Chichester, UK: John Wiley & Sons, Ltd, 1167-1175.