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In\ncomparison with the C-statistic (area under ROC curve), the\nexpected weight of evidence (expected information for\ndiscrimination) has several advantages as a summary measure of\npredictive performance. To quantify how the predictor will\nbehave as a risk stratifier, the quantiles of the distributions\nof weight of evidence in cases and controls can be calculated\nand plotted.", "License": "GPL-3", "URL": "https://precmed.cphs.mvm.ed.ac.uk/pmckeigue/preprints/cstatistic.pdf", "LazyData": "true", "ByteCompile": "TRUE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://pmckeigue.r-universe.dev", "Date/Publication": "2026-05-10 10:03:27 UTC", "RemoteUrl": "https://github.com/pmckeigue/wevid", "RemoteRef": "HEAD", "RemoteSha": "f62e4edcaebf76414f5ec21acf4b15537c18b3c1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-11 09:27:14 UTC", "User": "root" }, "Author": "Paul McKeigue [aut, cre],\nMarco Colombo [ctb]", "Maintainer": "Paul McKeigue ", "MD5sum": "b2c4a87d89884209a727163990960a7e", "_user": "pmckeigue", "_type": "src", "_file": "wevid_0.7.0.tar.gz", "_fileid": 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