
The p-value is a widely used tool for inference in clinical studies. However, despite the numerous books and papers published on the basics of statistical inference and, thus, on the p-value, there still seems to be a need to highlight what message the p-value exactly contains (and what it does not). In this article, the basic concepts and the different misconceptions regarding the p-value will be highlighted and illustrated with a clinical trial in osteoarthritis. It will also be shown that the (95%) confidence interval is to be preferred over the p-value as a statistical inference tool.
Sulfonamides, Biomedical Research, Pyridines, EMC NIHES-01-66-01, Statistics as Topic, Osteoarthritis, Knee, Osteoarthritis, Hip, Etoricoxib, Celecoxib, Sample Size, Humans, Pyrazoles, Cyclooxygenase Inhibitors, Sulfones, Pain Measurement, Randomized Controlled Trials as Topic
Sulfonamides, Biomedical Research, Pyridines, EMC NIHES-01-66-01, Statistics as Topic, Osteoarthritis, Knee, Osteoarthritis, Hip, Etoricoxib, Celecoxib, Sample Size, Humans, Pyrazoles, Cyclooxygenase Inhibitors, Sulfones, Pain Measurement, Randomized Controlled Trials as Topic
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
