The statistical research is an important tool for the welfare of society so in order to improve the living standards of society, the ethical guidelines are must be followed. Clinical vs. Statistical Significance. In this regard, statistical significance as a parameter in evidence based practice shows the extent or the likelihood that finding from research is true and does not occur by a chance (Heavey, 2015). Clinical significance is related to the practical importance of the findings. It doesn’t necessarily tell us about the importance of this difference or how meaningful it is for patients. ypothesis significance testing is the predominant approach to statistical inference on effect sizes, results of such tests are often misinterpreted, provide no information on the magnitude of the estimate, and tell us nothing about the clinically importance of an effect. The findings of one scientific experiment can have statistical significance but not clinical significance. So it’s important to consider that trial results could be… Statistically significant AND clinically important. Statistical significance means that a result from testing or experimenting is not likely to occur randomly or by chance, but is instead likely to be attributable to a specific cause. Testimony, or appeals to authority, come in two main types, eyewitness and expert. Often, the language of statistics obscures the findings of clinical trials. Conversely, authors of a study may speak of the statistical significance of a treatment effect that has little, if … If you hope to understand how likely it is that your research noticed an effect or trend actually occurring in the real world, you need to understand the concept of statistical power. A variety of recently developed statistical methods may help in generating estimates of the relative effectiveness of multiple interventions.17 Their confident application requires, in addition to evidence from indirect comparisons, substantial evidence from direct comparisons—evidence that is often unavailable.17 In public speeches, statistics have the advantage of seeming objective, authoritative, and factual, but critical audiences will want to know about the sources and methods for determining your statistical evidence. Get an answer for 'When using statistical evidence, why is it important that it was compiled by a disinterested source?' The statistical analysis usually starts with a hypothesis and based on the evidence in the data, the probability of a certain outcome of the hypothesis is determined. For example, a small study that claims clinical relevance may lack sufficient statistical power to justify its conclusions. 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