{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:58:32Z","timestamp":1787014712963,"version":"build-2736575974"},"reference-count":28,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2005,11,1]],"date-time":"2005-11-01T00:00:00Z","timestamp":1130803200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["GR\/M86323\/01"],"award-info":[{"award-number":["GR\/M86323\/01"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["GR\/R08292\/01"],"award-info":[{"award-number":["GR\/R08292\/01"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005,11,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>The paper is concerned with new methodology for statistical inference for final outcome infectious disease data using certain structured population stochastic epidemic models. A major obstacle to inference for such models is that the likelihood is both analytically and numerically intractable. The approach that is taken here is to impute missing information in the form of a random graph that describes the potential infectious contacts between individuals. This level of imputation overcomes various constraints of existing methodologies and yields more detailed information about the spread of disease. The methods are illustrated with both real and test data.<\/jats:p>","DOI":"10.1111\/j.1467-9868.2005.00524.x","type":"journal-article","created":{"date-parts":[[2005,11,10]],"date-time":"2005-11-10T10:10:14Z","timestamp":1131617414000},"page":"731-745","source":"Crossref","is-referenced-by-count":43,"title":["Bayesian Inference for Stochastic Multitype Epidemics in Structured Populations Via Random Graphs"],"prefix":"10.1093","volume":"67","author":[{"given":"Nikolaos","family":"Demiris","sequence":"first","affiliation":[{"name":"Medical Research Council Biostatistics Unit , Cambridge , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip D.","family":"O'Neill","sequence":"additional","affiliation":[{"name":"University of Nottingham , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2005,11,10]]},"reference":[{"key":"2023040705114514800_","doi-asserted-by":"crossref","first-page":"961","DOI":"10.2307\/2532652","article-title":"A generalized stochastic model for the analysis of infectious disease final size data","volume":"47","author":"Addy","year":"1991","journal-title":"Biometrics"},{"key":"2023040705114514800_","first-page":"128","article-title":"Epidemic models and social networks","volume":"24","author":"Andersson","year":"1999","journal-title":"Math. 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