The Certainty Behind Reporting a Significance Result
| Autor: | Seyed Mohammad Alavinia, Dinesh Kumbhare |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
030506 rehabilitation
Biomedical Research business.industry Research Statistics as Topic Rehabilitation Physical Therapy Sports Therapy and Rehabilitation Confidence interval 03 medical and health sciences 0302 clinical medicine Research Design Sample size determination Data Interpretation Statistical Statistics Humans Cutoff Medicine Metric (unit) p-value 0305 other medical science Null hypothesis business Set (psychology) 030217 neurology & neurosurgery Statistical hypothesis testing |
| Zdroj: | American Journal of Physical Medicine & Rehabilitation. 98:1147-1150 |
| ISSN: | 1537-7385 0894-9115 |
| DOI: | 10.1097/phm.0000000000001305 |
| Popis: | The P value is the most common method used in medical literature for the result of a statistical test. It is the probability of the data with a true null hypothesis and is calculated using a formal statistical test after the appropriate model has been determined to analyze study data. The P value is dependent on the effect size, sample size, and a measure of variability within the outcomes. For many years, the P value has been set at 0.05, which is an arbitrary cutoff. It is important to understand that setting the cutoff at 0.05 may be correct for some study designs but not in others. Therefore, we recommend that in addition to the P value, another metric should be reported that specifies the magnitude of the effect such as effect size, confidence interval of the effect size, or fragility index. |
| Databáze: | OpenAIRE |
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