View in EDS

Case-Based Learning for Teaching Statistical Collaboration: Development, Application, and Evaluation

Saved in:
Bibliographic Details
Title: Case-Based Learning for Teaching Statistical Collaboration: Development, Application, and Evaluation
Authors: Mario Davidson, Regina Russell
Source: Journal of Statistics and Data Science Education, Pp 1-24 (2025)
Publisher Information: Informa UK Limited, 2025.
Publication Year: 2025
Subject Terms: Consulting, LC8-6691, communication, facilitating classroom, statistical analysis plan, ethics, Probabilities. Mathematical statistics, Special aspects of education, QA273-280
Description: Case-based learning (CBL) is a highly effective approach in health professions education that remains underutilized in the field of statistics. To promote broader adoption, we have developed realistic cases designed to help learners practice critical thinking and devise appropriate solutions for complex scenarios. These cases, used in our graduate-level statistical collaboration course, incorporate social factors and real-world implications. The first case explores a newly graduated biostatistician navigating the challenges of meeting a client's expectations. The second focuses on a junior biostatistician developing a statistical analysis plan for a client with limited statistical knowledge. The third case, inspired by the development of the American Statistical Association's ethical guidelines, deliberates their need. Both training materials and fully developed cases are provided. We also discuss strategies for educators to create and facilitate similar cases. By engaging students in thoughtful consideration of these scenarios within a safe, structured environment, we encourage them to examine their assumptions and conclusions. This preparation equips them for real-world roles as consultants and team scientists. Additionally, student feedback from course evaluations and surveys indicates strong support for CBL, with the majority recommending its use in similar educational contexts.
Document Type: Article
Language: English
ISSN: 2693-9169
DOI: 10.1080/26939169.2025.2525140
Access URL: https://doaj.org/article/2308683173d44edba900c06bef9b38ec
Rights: CC BY
Accession Number: edsair.doi.dedup.....fff4d35c7b5dc788e0c3d5343753a62d
Database: OpenAIRE
Description
Abstract:Case-based learning (CBL) is a highly effective approach in health professions education that remains underutilized in the field of statistics. To promote broader adoption, we have developed realistic cases designed to help learners practice critical thinking and devise appropriate solutions for complex scenarios. These cases, used in our graduate-level statistical collaboration course, incorporate social factors and real-world implications. The first case explores a newly graduated biostatistician navigating the challenges of meeting a client's expectations. The second focuses on a junior biostatistician developing a statistical analysis plan for a client with limited statistical knowledge. The third case, inspired by the development of the American Statistical Association's ethical guidelines, deliberates their need. Both training materials and fully developed cases are provided. We also discuss strategies for educators to create and facilitate similar cases. By engaging students in thoughtful consideration of these scenarios within a safe, structured environment, we encourage them to examine their assumptions and conclusions. This preparation equips them for real-world roles as consultants and team scientists. Additionally, student feedback from course evaluations and surveys indicates strong support for CBL, with the majority recommending its use in similar educational contexts.
ISSN:26939169
DOI:10.1080/26939169.2025.2525140