RESUMEN
Correlation is a statistical method used to assess a possible linear association between two continuous variables. It is simple both to calculate and to interpret. However, misuse of correlation is so common among researchers that some statisticians have wished that the method had never been devised at all. The aim of this article is to provide a guide to appropriate use of correlation in medical research and to highlight some misuse. Examples of the applications of the correlation coefficient have been provided using data from statistical simulations as well as real data. Rule of thumb for interpreting size of a correlation coefficient has been provided.
Asunto(s)
Investigación Biomédica/métodos , Proyectos de Investigación , Estadística como Asunto , Guías como Asunto , HumanosRESUMEN
In conducting and reporting of medical research, there are some common pitfalls in using statistical methodology which may result in invalid inferences being made. This paper is aimed to highlight to inexperienced statisticians or non-statistician some of the common statistical pitfalls encountered when using statistics to interpret data in medical research. We also comment on good practices to avoid these pitfalls.
