Ha Thi Mai, Steven He, Evan Alexandrou, Steven Alfred Frost
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引用次数: 0
Abstract
Background: The Bayesian approach to updating scientific knowledge involves using a probability distribution to describe a prior belief concerning an outcome of interest and combines this with some new information to create a posterior probability distribution to describe the updated current knowledge.
Aim: To introduce the application of Bayes' theorem, using the conditional probability example of the Monty Hall problem and two examples of the clinical application of a Bayesian approach.
Discussion: Bayesian approaches enable the incorporation of prior knowledge into the interpretation of research findings and summaries of evidence to date. Bayesian approaches are being incorporated into most clinical trials.
Conclusion: Bayesian approaches to interpreting the results of a diagnostic test and a clinical trial highlight the utility of these approaches to clinical nursing and the application of evidence-based practice.
Implications for practice: Stimulation of an understanding and interest in the Bayesian approach among nurse researchers should lead to its wider application in nursing research.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.