Statistics review 3: hypothesis testing and P values.
The present review introduces the general philosophy behind hypothesis (significance) testing and calculation of P values. Guidelines for the interpretation of P values are also provided in the context of a published example, along with some of the common pitfalls. Examples of specific statistical tests will be covered in future reviews.
University of Bristol, Bristol, UK.
Elise
E
Whitley
Jonathan
J
Ball
D002986:Clinical Trials as Topic; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D011336:Probability; D012107:Research Design; D013223:Statistics as Topic / Q000379:methods*