Significance of p value in postgraduate thesis: do we need to change anything?
| Autor: | Avik Ray, Shubham Atal |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Cohen s d
education.field_of_study business.industry media_common.quotation_subject Population General Medicine 030204 cardiovascular system & hematology Certainty Confidence interval 03 medical and health sciences 0302 clinical medicine Statistical significance Statistics Medicine 030212 general & internal medicine p-value Null hypothesis education business Value (mathematics) media_common |
| Zdroj: | Postgraduate Medical Journal. 96:500-502 |
| ISSN: | 1469-0756 0032-5473 |
| Popis: | We are gradually moving to a world beyond ‘p 0.05. After all, p value is a probability value and varies every time the study is repeated. We should be ready to embrace the uncertainty involved in scientific research instead of bringing in the false certainty of statistical significance. Therefore, whether the p value is less than an arbitrary threshold or not should not be the criterion while deciding which results to present or focus on. In our postgraduate thesis work, the p value often becomes the ultimate measure of the significance of study outcomes. First, we should understand what the p value is and what it is not. Statistically, the p value refers to the ‘the probability of obtaining, by chance alone, a result at least as extreme as the one that was actually observed in a clinical experiment or epidemiological study, given that the null hypothesis (no difference between the specified population) considered is true’.1 The p … |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|