{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:44:52Z","timestamp":1780418692675,"version":"3.54.1"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2017,1,9]],"date-time":"2017-01-09T00:00:00Z","timestamp":1483920000000},"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\/100009001","name":"University of York","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009001","name":"European Union","doi-asserted-by":"publisher","award":["676129"],"award-info":[{"award-number":["676129"]}],"id":[{"id":"10.13039\/100009001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>We propose a Bayesian decision theoretic model of a fully sequential experiment in which the real-valued primary end point is observed with delay. The goal is to identify the sequential experiment which maximizes the expected benefits of technology adoption decisions, minus sampling costs. The solution yields a unified policy defining the optimal \u2018do not experiment\u2019\u2013\u2018fixed sample size experiment\u2019\u2013\u2018sequential experiment\u2019 regions and optimal stopping boundaries for sequential sampling, as a function of the prior mean benefit and the size of the delay. We apply the model to the field of medical statistics, using data from published clinical trials.<\/jats:p>","DOI":"10.1111\/rssb.12225","type":"journal-article","created":{"date-parts":[[2017,1,10]],"date-time":"2017-01-10T04:23:28Z","timestamp":1484022208000},"page":"1439-1462","source":"Crossref","is-referenced-by-count":34,"title":["A Bayesian Decision Theoretic Model of Sequential Experimentation with Delayed Response"],"prefix":"10.1093","volume":"79","author":[{"given":"Stephen","family":"Chick","sequence":"first","affiliation":[{"name":"INSEAD , Fontainebleau , France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Forster","sequence":"additional","affiliation":[{"name":"University of York , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paolo","family":"Pertile","sequence":"additional","affiliation":[{"name":"University of Verona , Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2017,1,9]]},"reference":[{"key":"2023022002192766000_rssb12225-cit-0001","volume-title":"Sequential Medical Trials","author":"Armitage","year":"1975"},{"key":"2023022002192766000_rssb12225-cit-0002","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1002\/sim.4780040412","article-title":"Interim analyses in clinical trials: classical vs. Bayesian approaches","volume":"4","author":"Berry","year":"1985","journal-title":"Statist. 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