
Be the first to like this
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.
Published on
Pvalues and Null Hypothesis Significance Testing abound in journal articles and other literature on bioinformatics and quantitative bioscience. Yet there has been confusion and controversy about what these approaches do and don’t mean—see e.g., Scientific method: Statistical errors (Nature 506, 150–152, 13 February 2014 doi:10.1038/506150a). Bioinformatics FOAM 2014 is fortunate to have two eminent statisticians—Professor John Carlin and Professor Gordon Smyth—to lead us in exploring the subtleties and science of statistical significance so that we can all become wiser to the value of pvalues.
Clipping is a handy way to collect and organize the most important slides from a presentation. You can keep your great finds in clipboards organized around topics.
Be the first to comment