1-104A-T-InfectionRisk-ModelingScenario
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13 Jun 2023 | Contributor(s): Qingxia Li, Jennie D'Ambroise | doi:10.25334/QC7Q-1747
This project is designed to examine differences between the exponential and logistic growth models in biology and how to apply these models in solving epidemic questions and comparing to actual disease data sets.
Teaching biostatistics using the Rule of Four
19 Mar 2023 | Contributor(s): Rachel Hartnett, Qingxia Li, Stacey Kiser, Anton E Weisstein | doi:10.25334/FHZB-ZG48
A guide to helping intro bio students develop a deeper understanding of key statistical concepts by translating among numeric, graphical, verbal, and symbolic representations.
1-104-InfectionRisk-ModelingScenario
22 May 2022 | Contributor(s): Qingxia Li | doi:10.25334/PEWE-X609
This project is designed to examine differences between the exponential and logistic growth models in biology and how to apply these models in solving epidemic questions.
Factor Structure Assessment of the Students Support Needs Scale-Augmented for African-American STEM Students
22 Jul 2021 | Contributor(s): Qingxia Li, Thomas Gross, Patricia Abbie McCarroll, Catherine Hines | doi:10.25334/1KJM-2Q46
Poster on the impact of a performance pyramid-based peer-led learning community on course knowledge at a Historically Black University. Presented at the 2021 BIOME Institute.
The effects of Avian Malaria On Pigeon Fledging Growth
19 Jun 2018 | Contributor(s): Qingxia Li, Lauren Gollahon, Tony Weisstein, Xinyao Yang | doi:10.25334/Q4BH8N
Poster on a case that combined Biology and Statistics in a student research project presented at the 2018 QUBES/BioQUEST Summer Workshop
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