The power of p.

The article discusses the use of statistical analysis in research papers and highlights the potential for incorrect interpretations and misleading statements, particularly in studies with small sample sizes. The article emphasizes that p-values, which are often used to determine statistical significance, are not as reliable or objective as commonly believed. The importance of considering sample size and accurately interpreting p-values is illustrated through an example. The article concludes by suggesting that using larger studies, acknowledging bias, and calculating pre-study probabilities can improve the statistics within current literature. It also encourages the use of multiple statistical elements and reflection on desired significance levels and power. [Extracted from the article]