{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T16:27:22Z","timestamp":1791217642354,"version":"4.1.0"},"reference-count":13,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2005,9,12]],"date-time":"2005-09-12T00:00:00Z","timestamp":1126483200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2006,5,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Immunological assays measure characteristics of the immune system, such as antibody levels, specific to certain diseases. High assay values are often associated with protection from disease. A question of interest is how the relationship between assay values and subsequent development of disease should be quantitatively modelled. Existing approaches successfully model the relationship for high assay values, where the probability of developing disease is low. However at low assay values, the probability of developing disease is more closely associated with factors such as disease prevalence rates and an individual's chance of exposure to infection; these are less well captured by existing models. This paper presents a model that accommodates both assay values and factors independent of assay values, enabling protection from disease to be modelled over the whole range of assay values and proposing a method for predicting the efficacy of a vaccine from the assays of vaccinees and non\u2010vaccinees. Copyright \u00a9 2005 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/sim.2282","type":"journal-article","created":{"date-parts":[[2005,9,12]],"date-time":"2005-09-12T17:46:48Z","timestamp":1126547208000},"page":"1485-1497","source":"Crossref","is-referenced-by-count":73,"title":["A model for immunological correlates of protection"],"prefix":"10.1002","volume":"25","author":[{"given":"Andrew J.","family":"Dunning","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2005,9,12]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0264-410X(03)00230-5"},{"issue":"5","key":"e_1_2_1_3_2","first-page":"780","article-title":"Validation of serological correlate of protection for meningococcal C conjugate vaccine by using efficacy estimates from postlicensure surveillance in England","volume":"10","author":"Andrews N","year":"2003","journal-title":"Clinical and Diagnostic Laboratory Immunology"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1086\/315323"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0264-410X(03)00355-4"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0264-410X(98)00227-8"},{"key":"e_1_2_1_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.1268"},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.1394"},{"key":"e_1_2_1_9_2","first-page":"283","article-title":"Methods for estimating serological correlates of protection","volume":"89","author":"Siber GR","year":"1997","journal-title":"Developments in Biological Standardization"},{"key":"e_1_2_1_10_2","doi-asserted-by":"publisher","DOI":"10.1093\/toxsci\/59.1.49"},{"issue":"1","key":"e_1_2_1_11_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1542\/peds.101.1.1","article-title":"A comparative efficacy trial in Germany in infants who received either the Lederle\/Takeda acellular pertussis component DTP (DTaP) vaccine, the Lederle whole\u2010cell component DTP vaccine, or DT vaccine","volume":"101","author":"Stehr K","year":"1998","journal-title":"Pediatrics"},{"key":"e_1_2_1_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0264-410X(98)00226-6"},{"key":"e_1_2_1_13_2","first-page":"18.22","volume-title":"Kendall's Advanced Theory of Statistics","author":"Stuart A","year":"1999"},{"key":"e_1_2_1_14_2","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/13.1.87"}],"container-title":["Statistics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fsim.2282","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/sim.2282","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,15]],"date-time":"2023-11-15T09:10:10Z","timestamp":1700039410000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/sim.2282"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,9,12]]},"references-count":13,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2006,5,15]]}},"alternative-id":["10.1002\/sim.2282"],"URL":"https:\/\/doi.org\/10.1002\/sim.2282","archive":["Portico"],"relation":{},"ISSN":["0277-6715","1097-0258"],"issn-type":[{"value":"0277-6715","type":"print"},{"value":"1097-0258","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,9,12]]}}}