The objective of this paper is to introduce selected statistical and epidemiologic topics that are of interest to interdisciplinary teams of healthcare quality professionals, educators, technical staff, and researchers who participate in clinical simulation scholarship. Four research vignettes in the setting of a hypothetical clinical simulation training workshop are presented. The first vignette illustrates the utility of exact logistic regression when analyzing a small dataset. The second underscores the importance of using an appropriate method to account for the repeated measurement of an outcome. The third illustrates the use of the intraclass correlation coefficient to measure inter-rater reliability. The final vignette demonstrates the benefits of creating a causal diagram known as a directed acyclic graph.
Conflict(s) of Interest
The authors have no financial disclosures to declare and no conflicts of interest to report.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Mulla, Zuber D.; Aranda, J. Hector; Rojas, Donovan; and Kupesic Plavsic, Sanja
"Statistical Methods Useful in Clinical Simulation and Medical Education Scholarship,"
Marshall Journal of Medicine:
4, Article 8.
Available at: https://mds.marshall.edu/mjm/vol5/iss4/8