Recently, the discussion on the implications of irreproducibility in the sciences has been brought into the spotlight. This topic has been discussed for years in the literature. A multitude of reasons have been attributed to this issue; one commonly labeled culprit is the overuse of the p value as a determinant of significance by the scientific community. Both scientists and statisticians have questioned the use of null hypothesis testing as the basis of scientific analysis. This survey of the current issues at hand in irreproducibility in research emphasizes potential causes of the issue, impacts that this can have for drug development and efforts been taken to increase transparency of findings in research.
Keywords: Data Analysis; Irreproducibility in Research; P Value; Statistical Modeling; Statistics; p-Value.