{"id":98,"date":"2016-04-01T00:15:18","date_gmt":"2016-04-01T00:15:18","guid":{"rendered":"https:\/\/live-optics-wp.pantheonsite.io\/cgri\/?page_id=98"},"modified":"2016-07-05T18:51:38","modified_gmt":"2016-07-05T18:51:38","slug":"oneshot-mrmc","status":"publish","type":"page","link":"https:\/\/wp.optics.arizona.edu\/cgri\/objectives\/oneshot-mrmc\/","title":{"rendered":"OneShot MRMC"},"content":{"rendered":"<p>This is an implementation of the OneShot algorithm for estimating the dependent of the variance of the area under the ROC curve on the numbers of signal-present cases, signal-absent cases, and readers. This code was designed to be very efficient and to work with large datasets like the ones we generate in our simulations. It works with continuous or categorical data.<\/p>\n<p><a href=\"http:\/\/wp.optics.arizona.edu\/cgri\/wp-content\/uploads\/sites\/42\/2016\/04\/OneShot.tar.gz\"><strong>Download Toolbox<\/strong><\/a><\/p>\n<p>File size : 24K<br \/>\nTo uncompress type:<br \/>\ngunzip OneShot.tar.gz<br \/>\ntar xf OneShot.tar<\/p>\n<p>See <a href=\"http:\/\/wp.optics.arizona.edu\/cgri\/wp-content\/uploads\/sites\/42\/2016\/07\/Image-Quality-Software-OneShot-Algorithm.txt\">ReadMe.txt<\/a> and source code for more information.<\/p>\n<h3>References<\/h3>\n<p><a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=A+Probabilistic+Development+of+the+MRMC+Method\">&#8220;A Probabilistic Development of the MRMC Method<\/a>,&#8221; Eric Clarkson, Matthew A. Kupinski, Harrison H. Barrett, Acad Radiol. 13(11):1410-21, 2006<\/p>\n<p>&#8220;<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1076633205009529\">One-Shot Estimate of MRMC Variance: AUC<\/a>,&#8221; Brandon D. Gallas, Academic Radiology 13:353-362, 2006.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This is an implementation of the OneShot algorithm for estimating the dependent of the variance of the area under the ROC curve on the numbers of signal-present cases, signal-absent cases, and readers. This code was designed to be very efficient and to work with large datasets like the ones we generate in our simulations. It works with continuous or categorical<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":74,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-98","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/98","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/comments?post=98"}],"version-history":[{"count":5,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/98\/revisions"}],"predecessor-version":[{"id":564,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/98\/revisions\/564"}],"up":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/74"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/media?parent=98"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}