{ "_id": "6a49c17b06a29a6bd7345021", "Package": "EventWinRatios", "Type": "Package", "Title": "Event-Specific Win Ratios for Terminal and Non-Terminal Events", "Version": "1.0.0", "Authors@R": "c(\nperson(given = \"Daewoo\", family = \"Pak\", email = \"dpak@yonsei.ac.kr\", role = c(\"aut\", \"cre\")),\nperson(given = \"Song\", family = \"Yang\", email = \"yangso@nhlbi.nih.gov\", role = c(\"aut\"))\n)", "Maintainer": "Daewoo Pak ", "Description": "Provides several confidence interval and testing\nprocedures using event-specific win ratios for semi-competing\nrisks data with non-terminal and terminal events, as developed\nin Yang et al. (2021). Compared with\nconventional methods for survival data, these procedures are\ndesigned to utilize more data for improved inference procedures\nwith semi-competing risks data. The event-specific win ratios\nwere introduced in Yang and Troendle\n(2021). In this package, the\nevent-specific win ratios and confidence intervals are obtained\nfor each event type, and several testing procedures are\ndeveloped for the global null of no treatment effect on either\nterminal or non-terminal events. Furthermore, a test of\nproportional hazard assumptions, under which the event-specific\nwin ratios converge to the hazard ratios, and a test of equal\nhazard ratios are provided. For summarizing the treatment\neffect on all events, confidence intervals for linear\ncombinations of the event-specific win ratios are available\nusing pre-determined or data-driven weights. Asymptotic\nproperties of these inference procedures are discussed in Yang\net al (2021). Also, transformations are\nused to yield better control of the type one error rates for\nmoderately sized data sets.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-05 02:25:46 UTC", "User": "root" }, "Author": "Daewoo Pak [aut, cre], Song Yang [aut]", "Repository": "https://daewoopak.r-universe.dev", "Date/Publication": "2022-04-04 07:30:06 UTC", "RemoteUrl": "https://github.com/cran/EventWinRatios", "RemoteRef": "HEAD", "RemoteSha": "1444fc0eb0269f9f8c4489201ee19c56af11b01d", "_user": "daewoopak", "_type": "src", "_file": "EventWinRatios_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/7463031ed812c6b5822560a2979d9833b18020c2af8ca7e1bdd65f0335b9ce18", "_filesize": 166263, "_sha256": "7463031ed812c6b5822560a2979d9833b18020c2af8ca7e1bdd65f0335b9ce18", "_expires": "2026-10-13T02:29:13.000Z", "_created": "2026-07-05T02:25:46.000Z", "_published": "2026-07-05T02:29:15.166Z", "_jobs": [ { "job": 85185769386, 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