Sharma Hunny
Department of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Saudi J Anaesth. 2021 Oct-Dec;15(4):431-434. doi: 10.4103/sja.sja_158_21. Epub 2021 Sep 2.
It is incredibly essential that the current clinicians and researchers remain updated with findings of current biomedical literature for evidence-based medicine. However, they come across many types of research that are nonreproducible and are even difficult to interpret clinically. Statistical and clinical significance is one such difficulty that clinicians and researchers face across many instances. In simpler terms, the value tests all hypothesis about how the data were produced (model as whole), and not just the targeted hypothesis that it is intended to test (such as a null hypothesis) keeping in mind how reliable are the of the research results. Most of the times it is misinterpreted and misunderstood as a measure to judge the results as clinically significant. Hence this review aims to impart knowledge about "P" value and its importance in biostatistics, also highlights the importance of difference between statistical and clinical significance for appropriate interpretation of research results.
对于当前的临床医生和研究人员而言，紧跟当前生物医学文献的研究结果以实现循证医学是极其重要的。然而，他们会遇到许多无法重复且临床解释起来甚至都很困难的研究类型。统计显著性和临床显著性就是临床医生和研究人员在很多情况下都会面临的一个难题。简单来说，P值检验的是关于数据如何产生的所有假设（整体模型），而不仅仅是它打算检验的目标假设（例如零假设），同时要牢记研究结果的可靠性如何。大多数时候，它被误解和错误地当作判断结果是否具有临床显著性的一种度量。因此，本综述旨在传授关于“P”值及其在生物统计学中的重要性的知识，同时也强调统计显著性和临床显著性之间的差异对于正确解释研究结果的重要性。
