{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T15:01:09Z","timestamp":1779289269579,"version":"3.51.4"},"reference-count":11,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2001,3,5]],"date-time":"2001-03-05T00:00:00Z","timestamp":983750400000},"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":[[2001,3,30]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Heterogeneity in a phase I clinical trial patient population may lead to distinctly different dose\u2013response relationships along covariate values. For a given target probability of toxicity, this implies different maximum tolerated doses (MTDs) for each distinct subpopulation. Within the framework of O'Quigley, Pepe and Fisher's (1990) continual reassessment method, we propose the notion of average and patient\u2010specific MTDs by augmenting the dose\u2013response model with other covariates to account for such differences. A method to elicit prior distributions on the dose and other covariate parameters are proposed, based on the predictive approach of Ibrahim and Laud (1994), Laud and Ibrahim (1995), and Ibrahim, Ryan and Chen (1998). This approach relies on prior predictions for the response vector <jats:italic>y<\/jats:italic><jats:sub>0<\/jats:sub> and a quantity <jats:italic>a<\/jats:italic><jats:sub>0<\/jats:sub> specifying uncertainty in <jats:italic>y<\/jats:italic><jats:sub>0<\/jats:sub>. Then, <jats:italic>y<\/jats:italic><jats:sub>0<\/jats:sub> and <jats:italic>a<\/jats:italic><jats:sub>0<\/jats:sub> are used to specify a prior for the regression coefficients in a semi\u2010automatic fashion. The elicitation scheme for <jats:italic>y<\/jats:italic><jats:sub>0<\/jats:sub> uses results from previous phase I cancer clinical trials. The average and patient\u2010specific MTDs and an elicitation method are demonstrated in logistic regression examples. Copyright \u00a9 2001 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/sim.701","type":"journal-article","created":{"date-parts":[[2002,8,25]],"date-time":"2002-08-25T22:50:54Z","timestamp":1030315854000},"page":"867-882","source":"Crossref","is-referenced-by-count":31,"title":["Heterogeneity in phase I clinical trials: prior elicitation and computation using the continual reassessment method"],"prefix":"10.1002","volume":"20","author":[{"given":"Anna T. R.","family":"Legedza","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph G.","family":"Ibrahim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2001,3,5]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.2307\/2531693"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.2307\/2531628"},{"key":"e_1_2_1_4_2","doi-asserted-by":"crossref","first-page":"1282","DOI":"10.1080\/01621459.1998.10473789","article-title":"Use of historical controls to adjust for covariates in trend tests for binary data","volume":"93","author":"Ibrahim JG","year":"1998","journal-title":"Journal of the American Statistical Association"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00173"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1994.10476472"},{"key":"e_1_2_1_7_2","first-page":"981","article-title":"Predictive model selection","volume":"57","author":"Laud PW","year":"1995","journal-title":"Journal of the Royal Statistical Society B"},{"key":"e_1_2_1_8_2","unstructured":"ChenM\u2010H IbrahimJG ShaoQ\u2010M.Power prior distributions for generalized linear models. 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Mathsoft Inc. 1996."}],"container-title":["Statistics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fsim.701","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/sim.701","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T12:48:43Z","timestamp":1696682923000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/sim.701"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,3,5]]},"references-count":11,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2001,3,30]]}},"alternative-id":["10.1002\/sim.701"],"URL":"https:\/\/doi.org\/10.1002\/sim.701","archive":["Portico"],"relation":{},"ISSN":["0277-6715","1097-0258"],"issn-type":[{"value":"0277-6715","type":"print"},{"value":"1097-0258","type":"electronic"}],"subject":[],"published":{"date-parts":[[2001,3,5]]}}}