EMR20: Statistical Analysis, Part 2. Is the Relationship Important?
2018
In the second of three videos on basic statistical analysis, Professor David Cutler, moves beyond summarizing the relationship between two variables to asking if this relationship is "important?" He discussed two dimensions of "importance", the first addressing the substantive question about whether the magnitude of the relationship is meaningful enough or big enough to be important. This second addresses the statistical relationship between the variables and makes up the bulk of the video. In other words, how can you be sure that what you are seeing is a real relationship and not just an observation by chance in one particular sample? In other words, what does it mean to be "statistically significant"? The first video in this collection, intended to precede this video, is shown below. The final video in the collection addresses correlation versus causation, and is also shown below.
- EMR20: Part 1. Relationship between Two Variables (~15 min)
- EMR20: Part 2. Is the Relationship Important? (~28 min)
- EMR20: Part 3. Correlation vs. Causation (~21 min)
Videos prototyped and produced in collaboration with the Global Health Education and Learning Incubator at Harvard University (GHELI) as part of a residency in pedagogical innovation and multimodal learning.
Related Files:
Source:
Cutler D. EMR20: Statistical Analysis, Part 2. Is the Relationship Important? Video. Global Health Education and Learning Incubator at Harvard University 2018; Nov. https://vimeo.com/299476791