Sinopsis
The impetus for this show has come out of my desire to share the translational science and clinical practice of nursing and health promotion with those interested. Some episodes will be primarily opinion pieces, while the vast majority will set out to deconstruct a scholarly nursing or related biomedical paper and pull some relevant piece of practice changing knowledge from it. Ultimately, my goal is to promote continual learning and self-development.
Episodios
-
![Ep. 043, Finally, a study I can get behind...]()
-
![Ep. 042, Kinsell (1964): Calories do count]()
-
![Ep. 041, Does Splenda reduce insulin sensitivity?]()
-
![Ep. 040, Drinking hot tea increases cancer risk?]()
Ep. 040, Drinking hot tea increases cancer risk?
23/03/2019 Duración: 01h05minIn today’s episode, Ian covers a study published on in a recent CNN article describing a supposedly increased risk of esophageal squamous cell carcinoma by 90%, due apparently to very hot tea intake. Do you buy these results? Ian is skeptical.
-
![Ep. 039, The Dunning-Kruger Effect]()
Ep. 039, The Dunning-Kruger Effect
22/12/2018 Duración: 19minIn this episode, Ian discusses the Dunning-Kruger effect and how research has exposed him to the notion that expertise is quite rare.
-
![Ep. 038, Nursing literature search results]()
Ep. 038, Nursing literature search results
23/10/2018 Duración: 27minIn this episode, Ian describes his foray into the nursing literature from years past and describes what he’s seeing so far in his literature search and review.
-
![Ep. 037, Garbage in, garbage out]()
Ep. 037, Garbage in, garbage out
19/10/2018 Duración: 23minIn this episode, Ian describes what a meta-analysis if effect sizes is and how it is different from a systematic literature review, and then examines the merits and faults of the meta-analysis in terms of our ability to generalize from the results.
-
![Ep. 036, A primer on Type II Error interpretation]()
Ep. 036, A primer on Type II Error interpretation
19/10/2018 Duración: 17minIn this episode, Ian briefly covers the basic interpretive framework he uses to understand type I versus type II error rates, and what it actually means for our interpretations of published research.
