Abstract
The paper describes historic origins of p values via the work of Fisher, and the competing approach by Neyman and Pearson. Concepts of type 1 and type 2 errors, false positive rates, power, and prevalence are also defined, and the merger of the two approaches via the Null Hypothesis Significance Test. The relationship between p values and false detection rate is discussed. The reproducibility of p values is described. The current controversy over the use of p values and significance tests is introduced.
| Original language | English |
|---|---|
| Article number | 103884 |
| Number of pages | 7 |
| Journal | Chemometrics and Intelligent Laboratory Systems |
| Volume | 195 |
| Early online date | 29 Oct 2019 |
| DOIs | |
| Publication status | Published - 15 Dec 2019 |
Keywords
- False positive rate
- Hypothesis test
- Null hypothesis
- p value
- Significance test
- Type 1 error
- Type 2 error
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