{ "_id": "6a1f2182b401979e734206a8", "Package": "icensmis", "Type": "Package", "Title": "Study Design and Data Analysis in the Presence of Error-Prone\nDiagnostic Tests and Self-Reported Outcomes", "Version": "1.5.0", "Date": "2021-08-27", "Author": "Xiangdong Gu and Raji Balasubramanian", "Maintainer": "Xiangdong Gu ", "Description": "We consider studies in which information from error-prone\ndiagnostic tests or self-reports are gathered sequentially to\ndetermine the occurrence of a silent event. Using a\nlikelihood-based approach incorporating the proportional\nhazards assumption, we provide functions to estimate the\nsurvival distribution and covariate effects. We also provide\nfunctions for power and sample size calculations for this\nsetting. Please refer to Xiangdong Gu, Yunsheng Ma, and Raji\nBalasubramanian (2015) , Xiangdong Gu\nand Raji Balasubramanian (2016) ,\nXiangdong Gu, Mahlet G Tadesse, Andrea S Foulkes, Yunsheng Ma,\nand Raji Balasubramanian (2020) .", "Encoding": "UTF-8", "License": "GPL (>= 2)", "RoxygenNote": "7.1.1", "Repository": "https://xiangdonggu.r-universe.dev", "Date/Publication": "2021-08-27 01:04:56 UTC", "RemoteUrl": "https://github.com/xiangdonggu/icensmis", "RemoteRef": "HEAD", "RemoteSha": "74c077e81c3c4bb3ecb8255afac099215a54e88e", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-16 07:30:12 UTC", "User": "root" }, "MD5sum": "d4a50cbbc4191ba52d65dbd3efafda9a", "_user": "xiangdonggu", "_type": "src", "_file": "icensmis_1.5.0.tar.gz", "_fileid": "027cdf7be7f928e635d40d7f6ca5ac2782a14aefb97cfd4aaa4d87ca7088168b", "_filesize": 155353, "_sha256": "027cdf7be7f928e635d40d7f6ca5ac2782a14aefb97cfd4aaa4d87ca7088168b", "_created": "2026-05-16T07:30:12.000Z", "_published": 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