In this week’s episode, the first for Season 5, Greg and Patrick explore the very cool world of receiver operating characteristic, or ROC, curves: what they are, how they work, and why we can give partial thanks to Winston Churchill for their existence. Along the way they also discuss advent calendars, lasagna for 8, honey nut cheerios, radio detection and ranging, flock of seagulls, broken pun promises, Duane Johnson, the whale petting machine, Embassy Suites, poison ivy & kudzu, sexy Hulk, smoldering intensity, Spitfires and F-14’s, drunken punches, and where’s Waldo.
Related Episodes
S3E16: Your COVID Rapid Test Result: Are You Positive You’re Positive?
S4E13 Model-Based Power Analysis…The Power of *What*
S1E02: (Statistical) Power Struggles
Recommended Readings & Web Resources
Fan, J., Upadhye, S., & Worster, A. (2006). Understanding receiver operating characteristic (ROC) curves. Canadian Journal of Emergency Medicine, 8, 19-20.
Hart, P. D. (2016). Receiver operating characteristic (ROC) curve analysis: A tutorial using body mass index (BMI) as a measure of obesity. J Phys Act Res, 1, 5-8.
Janssens, A. C. J., & Martens, F. K. (2020). Reflection on modern methods: Revisiting the area under the ROC Curve. International journal of epidemiology, 49(4), 1397-1403.
Mandrekar, J. N. (2010). Receiver operating characteristic curve in diagnostic test assessment. Journal of Thoracic Oncology, 5, 1315-1316.
Petscher, Y. M., Schatschneider, C., & Compton, D. L. (Eds.). (2013). Applied quantitative analysis in education and the social sciences. Routledge.
Youngstrom, E. A. (2014). A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: we are ready to ROC. Journal of Pediatric Psychology, 39, 204-221.
ROC Curves from MedCalc: https://www.medcalc.org/manual/roc-curves.php