Consequences of relying on statistical significance: some illustrations
<strong>Background</strong> Despite regular criticisms of null hypothesis significance testing (NHST), a focus on testing persists, sometimes in the belief to get published and sometimes encouraged by journal reviewers. This paper aims to demonstrate known key limitations of NHST using s...
Main Authors: | Van Calster, B, Steyerberg, E, Collins, G, Smits, T |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Wiley
2018
|
Similar Items
-
Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important)
by: Van Calster, B, et al.
Published: (2019) -
Artificial intelligence algorithms for medical prediction should be nonproprietary and readily available
by: Van Calster, B, et al.
Published: (2019) -
Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
by: Anne A. H. de Hond, et al.
Published: (2022-05-01) -
Predictive analytics in health care: how can we know it works?
by: Van Calster, B, et al.
Published: (2019) -
ROC curves for clinical prediction models part 3. The ROC plot: a picture that needs a 1000 words
by: Van Calster, B, et al.
Published: (2020)