"Why Most Published Research Findings are False" Part I скачать в хорошем качестве

"Why Most Published Research Findings are False" Part I

In 2005, John Ioannidis, well known for his research on the validity of studies in the health and medical sciences, wrote an essay titled “Why Most Published Research Findings are False.” In it, he lays out a framework for demonstrating: • the probability that research findings are false, • the number of findings in a given research field that are valid, • how different biases affect the outcomes of research, and • what can be done to reduce error and bias. In Part I this series, we will be introduced to different types of errors, their probabilities, and the concept of statistical power. In Part II, we will learn about Positive Predictive Value, or the believability of a study’s findings, as well as how biases can impact results. Part III lays out six corollaries that characterize scientific research and what scientists can do to improve the validity of scientific research. “Why Most Published Research Findings are False” can be found at: http://journals.plos.org/plosmedicine... Ioannidis, John P. A. 2005. “Why Most Published Research Findings Are False.” PLoS Med 2 (8): e124. doi:10.1371/journal.pmed.0020124.