{"data":{"id":"10.6084/m9.figshare.1473752","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1473752","prefix":"10.6084","suffix":"m9.figshare.1473752","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Juhee Lee","affiliation":[],"nameIdentifiers":[]},{"name":"Thall, Peter F.","nameType":"Personal","givenName":"Peter F.","familyName":"Thall","affiliation":[],"nameIdentifiers":[]},{"name":"Ji, Yuan","nameType":"Personal","givenName":"Yuan","familyName":"Ji","affiliation":[],"nameIdentifiers":[]},{"name":"Müller, Peter","nameType":"Personal","givenName":"Peter","familyName":"Müller","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Computational Biology"},{"subject":"110309 Infectious Diseases","subjectScheme":"FOR"},{"subject":"FOS: Health sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Health sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Cancer"},{"subject":"Mathematics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Biological Sciences"},{"subject":"Biotechnology"},{"subject":"Pharmacology"},{"subject":"Cell Biology"},{"subject":"Medicine"}],"contributors":[],"dates":[{"date":"2015-07-06","dateType":"Created"},{"date":"2015-12-03","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/01621459.2014.926815","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["211962 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This article proposes a phase I/II clinical trial design for adaptively and dynamically optimizing each patient’s dose in each of two cycles of therapy based on the joint binary efficacy and toxicity outcomes in each cycle. A dose-outcome model is assumed that includes a Bayesian hierarchical latent variable structure to induce association among the outcomes and also facilitate posterior computation. Doses are chosen in each cycle based on posteriors of a model-based objective function, similar to a reinforcement learning or Q-learning function, defined in terms of numerical utilities of the joint outcomes in each cycle. For each patient, the procedure outputs a sequence of two actions, one for each cycle, with each action being the decision to either treat the patient at a chosen dose or not to treat. The cycle 2 action depends on the individual patient’s cycle 1 dose and outcomes. In addition, decisions are based on posterior inference using other patients’ data, and therefore, the proposed method is adaptive both within and between patients. A simulation study of the method is presented, including comparison to two-cycle extensions of the conventional 3 + 3 algorithm, continual reassessment method, and a Bayesian model-based design, and evaluation of robustness. Supplementary materials for this article are available online.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYS1pbnN0YW5jZSIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00LjEvbWV0YWRhdGEueHNkIj4KICA8aWRlbnRpZmllciBpZGVudGlmaWVyVHlwZT0iRE9JIj4xMC42MDg0L005LkZJR1NIQVJFLjE0NzM3NTI8L2lkZW50aWZpZXI+CiAgPGNyZWF0b3JzPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5KdWhlZSBMZWU8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5QZXRlciBGLiBUaGFsbDwvY3JlYXRvck5hbWU+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPll1YW4gSmk8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5QZXRlciBNw7xsbGVyPC9jcmVhdG9yTmFtZT4KICAgIDwvY3JlYXRvcj4KICA8L2NyZWF0b3JzPgogIDx0aXRsZXM+CiAgICA8dGl0bGU+QmF5ZXNpYW4gRG9zZS1GaW5kaW5nIGluIFR3byBUcmVhdG1lbnQgQ3ljbGVzIEJhc2VkIG9uIHRoZSBKb2ludCBVdGlsaXR5IG9mIEVmZmljYWN5IGFuZCBUb3hpY2l0eTwvdGl0bGU+CiAgPC90aXRsZXM+CiAgPGRlc2NyaXB0aW9ucz4KICAgIDxkZXNjcmlwdGlvbiBkZXNjcmlwdGlvblR5cGU9IkFic3RyYWN0Ij4mbHQ7ZGl2Jmd0OyZsdDtwJmd0O1RoaXMgYXJ0aWNsZSBwcm9wb3NlcyBhIHBoYXNlIEkvSUkgY2xpbmljYWwgdHJpYWwgZGVzaWduIGZvciBhZGFwdGl2ZWx5IGFuZCBkeW5hbWljYWxseSBvcHRpbWl6aW5nIGVhY2ggcGF0aWVudOKAmXMgZG9zZSBpbiBlYWNoIG9mIHR3byBjeWNsZXMgb2YgdGhlcmFweSBiYXNlZCBvbiB0aGUgam9pbnQgYmluYXJ5IGVmZmljYWN5IGFuZCB0b3hpY2l0eSBvdXRjb21lcyBpbiBlYWNoIGN5Y2xlLiBBIGRvc2Utb3V0Y29tZSBtb2RlbCBpcyBhc3N1bWVkIHRoYXQgaW5jbHVkZXMgYSBCYXllc2lhbiBoaWVyYXJjaGljYWwgbGF0ZW50IHZhcmlhYmxlIHN0cnVjdHVyZSB0byBpbmR1Y2UgYXNzb2NpYXRpb24gYW1vbmcgdGhlIG91dGNvbWVzIGFuZCBhbHNvIGZhY2lsaXRhdGUgcG9zdGVyaW9yIGNvbXB1dGF0aW9uLiBEb3NlcyBhcmUgY2hvc2VuIGluIGVhY2ggY3ljbGUgYmFzZWQgb24gcG9zdGVyaW9ycyBvZiBhIG1vZGVsLWJhc2VkIG9iamVjdGl2ZSBmdW5jdGlvbiwgc2ltaWxhciB0byBhIHJlaW5mb3JjZW1lbnQgbGVhcm5pbmcgb3IgUS1sZWFybmluZyBmdW5jdGlvbiwgZGVmaW5lZCBpbiB0ZXJtcyBvZiBudW1lcmljYWwgdXRpbGl0aWVzIG9mIHRoZSBqb2ludCBvdXRjb21lcyBpbiBlYWNoIGN5Y2xlLiBGb3IgZWFjaCBwYXRpZW50LCB0aGUgcHJvY2VkdXJlIG91dHB1dHMgYSBzZXF1ZW5jZSBvZiB0d28gYWN0aW9ucywgb25lIGZvciBlYWNoIGN5Y2xlLCB3aXRoIGVhY2ggYWN0aW9uIGJlaW5nIHRoZSBkZWNpc2lvbiB0byBlaXRoZXIgdHJlYXQgdGhlIHBhdGllbnQgYXQgYSBjaG9zZW4gZG9zZSBvciBub3QgdG8gdHJlYXQuIFRoZSBjeWNsZSAyIGFjdGlvbiBkZXBlbmRzIG9uIHRoZSBpbmRpdmlkdWFsIHBhdGllbnTigJlzIGN5Y2xlIDEgZG9zZSBhbmQgb3V0Y29tZXMuIEluIGFkZGl0aW9uLCBkZWNpc2lvbnMgYXJlIGJhc2VkIG9uIHBvc3RlcmlvciBpbmZlcmVuY2UgdXNpbmcgb3RoZXIgcGF0aWVudHPigJkgZGF0YSwgYW5kIHRoZXJlZm9yZSwgdGhlIHByb3Bvc2VkIG1ldGhvZCBpcyBhZGFwdGl2ZSBib3RoIHdpdGhpbiBhbmQgYmV0d2VlbiBwYXRpZW50cy4gQSBzaW11bGF0aW9uIHN0dWR5IG9mIHRoZSBtZXRob2QgaXMgcHJlc2VudGVkLCBpbmNsdWRpbmcgY29tcGFyaXNvbiB0byB0d28tY3ljbGUgZXh0ZW5zaW9ucyBvZiB0aGUgY29udmVudGlvbmFsIDMgKyAzIGFsZ29yaXRobSwgY29udGludWFsIHJlYXNzZXNzbWVudCBtZXRob2QsIGFuZCBhIEJheWVzaWFuIG1vZGVsLWJhc2VkIGRlc2lnbiwgYW5kIGV2YWx1YXRpb24gb2Ygcm9idXN0bmVzcy4gU3VwcGxlbWVudGFyeSBtYXRlcmlhbHMgZm9yIHRoaXMgYXJ0aWNsZSBhcmUgYXZhaWxhYmxlIG9ubGluZS4mbHQ7L3AmZ3Q7Jmx0Oy9kaXYmZ3Q7PC9kZXNjcmlwdGlvbj4KICA8L2Rlc2NyaXB0aW9ucz4KICA8c3ViamVjdHM+CiAgICA8c3ViamVjdD5Db21wdXRhdGlvbmFsICBCaW9sb2d5PC9zdWJqZWN0PgogICAgPHN1YmplY3Qgc2NoZW1lVVJJPSJodHRwOi8vd3d3LmFicy5nb3YuYXUvYXVzc3RhdHMvYWJzQC5uc2YvMC82QkI0MjdBQjk2OTZDMjI1Q0EyNTc0MTgwMDA0NDYzRSIgc3ViamVjdFNjaGVtZT0iRk9SIj4xMTAzMDkgSW5mZWN0aW91cyBEaXNlYXNlczwvc3ViamVjdD4KICAgIDxzdWJqZWN0PkNhbmNlcjwvc3ViamVjdD4KICAgIDxzdWJqZWN0Pk1hdGhlbWF0aWNzPC9zdWJqZWN0PgogICAgPHN1YmplY3Q+QmlvbG9naWNhbCBTY2llbmNlczwvc3ViamVjdD4KICAgIDxzdWJqZWN0PkJpb3RlY2hub2xvZ3k8L3N1YmplY3Q+CiAgICA8c3ViamVjdD5QaGFybWFjb2xvZ3k8L3N1YmplY3Q+CiAgICA8c3ViamVjdD5DZWxsIEJpb2xvZ3k8L3N1YmplY3Q+CiAgICA8c3ViamVjdD5NZWRpY2luZTwvc3ViamVjdD4KICA8L3N1YmplY3RzPgogIDxwdWJsaXNoZXI+VGF5bG9yICZhbXA7IEZyYW5jaXM8L3B1Ymxpc2hlcj4KICA8cHVibGljYXRpb25ZZWFyPjIwMTU8L3B1YmxpY2F0aW9uWWVhcj4KICA8ZGF0ZXM+CiAgICA8ZGF0ZSBkYXRlVHlwZT0iQ3JlYXRlZCI+MjAxNS0wNy0wNjwvZGF0ZT4KICAgIDxkYXRlIGRhdGVUeXBlPSJVcGRhdGVkIj4yMDE1LTEyLTAzPC9kYXRlPgogIDwvZGF0ZXM+CiAgPHJlc291cmNlVHlwZSByZXNvdXJjZVR5cGVHZW5lcmFsPSJEYXRhc2V0Ij5EYXRhc2V0PC9yZXNvdXJjZVR5cGU+CiAgPHNpemVzPgogICAgPHNpemU+MjExOTYyIEJ5dGVzPC9zaXplPgogIDwvc2l6ZXM+CiAgPHJlbGF0ZWRJZGVudGlmaWVycz4KICAgIDxyZWxhdGVkSWRlbnRpZmllciByZWxhdGVkSWRlbnRpZmllclR5cGU9IkRPSSIgcmVsYXRpb25UeXBlPSJJc1N1cHBsZW1lbnRUbyI+MTAuMTA4MC8wMTYyMTQ1OS4yMDE0LjkyNjgxNTwvcmVsYXRlZElkZW50aWZpZXI+CiAgPC9yZWxhdGVkSWRlbnRpZmllcnM+CiAgPHJpZ2h0c0xpc3Q+CiAgICA8cmlnaHRzIHJpZ2h0c1VSST0iaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LzQuMC8iPkNDIEJZIDQuMDwvcmlnaHRzPgogIDwvcmlnaHRzTGlzdD4KPC9yZXNvdXJjZT4=","url":"https://tandf.figshare.com/articles/dataset/Bayesian_Dose_Finding_in_Two_Treatment_Cycles_Based_on_the_Joint_Utility_of_Efficacy_and_Toxicity/1473752","contentUrl":null,"metadataVersion":5,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOve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