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- Publisher Website: 10.1111/j.1541-0420.2006.00534.x
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- PMID: 16984320
- WOS: WOS:000240708300020
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Article: Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios
Title | Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios |
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Authors | |
Keywords | Bayesian adaptive design Bivariate binary model Equivalence contour Gibbs sampling Trade-offs |
Issue Date | 2006 |
Publisher | Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM |
Citation | Biometrics, 2006, v. 62 n. 3, p. 777-787+955 How to Cite? |
Abstract | A Bayesian adaptive design is proposed for dose-finding in phase I/II clinical trials to incorporate the bivariate outcomes, toxicity and efficacy, of a new treatment. Without specifying any parametric functional form for the drug dose-response curve, we jointly model the bivariate binary data to account for the correlation between toxicity and efficacy. After observing all the responses of each cohort of patients, the dosage for the next cohort is escalated, deescalated, or unchanged according to the proposed odds ratio criteria constructed from the posterior toxicity and efficacy probabilities. A novel class of prior distributions is proposed through logit transformations which implicitly imposes a monotonic constraint on dose toxicity probabilities and correlates the probabilities of the bivariate outcomes. We conduct simulation studies to evaluate the operating characteristics of the proposed method. Under various scenarios, the new Bayesian design based on the toxicity-efficacy odds ratio trade-offs exhibits good properties and treats most patients at the desirable dose levels. The method is illustrated with a real trial design for a breast medical oncology study. © 2006, The International Biometric Society. |
Persistent Identifier | http://hdl.handle.net/10722/146577 |
ISSN | 2023 Impact Factor: 1.4 2023 SCImago Journal Rankings: 1.480 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Yin, G | en_HK |
dc.contributor.author | Li, Y | en_HK |
dc.contributor.author | Ji, Y | en_HK |
dc.date.accessioned | 2012-05-02T08:37:08Z | - |
dc.date.available | 2012-05-02T08:37:08Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.citation | Biometrics, 2006, v. 62 n. 3, p. 777-787+955 | en_HK |
dc.identifier.issn | 0006-341X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/146577 | - |
dc.description.abstract | A Bayesian adaptive design is proposed for dose-finding in phase I/II clinical trials to incorporate the bivariate outcomes, toxicity and efficacy, of a new treatment. Without specifying any parametric functional form for the drug dose-response curve, we jointly model the bivariate binary data to account for the correlation between toxicity and efficacy. After observing all the responses of each cohort of patients, the dosage for the next cohort is escalated, deescalated, or unchanged according to the proposed odds ratio criteria constructed from the posterior toxicity and efficacy probabilities. A novel class of prior distributions is proposed through logit transformations which implicitly imposes a monotonic constraint on dose toxicity probabilities and correlates the probabilities of the bivariate outcomes. We conduct simulation studies to evaluate the operating characteristics of the proposed method. Under various scenarios, the new Bayesian design based on the toxicity-efficacy odds ratio trade-offs exhibits good properties and treats most patients at the desirable dose levels. The method is illustrated with a real trial design for a breast medical oncology study. © 2006, The International Biometric Society. | en_HK |
dc.language | eng | en_US |
dc.publisher | Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM | en_HK |
dc.relation.ispartof | Biometrics | en_HK |
dc.subject | Bayesian adaptive design | en_HK |
dc.subject | Bivariate binary model | en_HK |
dc.subject | Equivalence contour | en_HK |
dc.subject | Gibbs sampling | en_HK |
dc.subject | Trade-offs | en_HK |
dc.subject.mesh | Antineoplastic Combined Chemotherapy Protocols - Administration & Dosage | en_US |
dc.subject.mesh | Bayes Theorem | en_US |
dc.subject.mesh | Biometry | en_US |
dc.subject.mesh | Breast Neoplasms - Drug Therapy - Secondary | en_US |
dc.subject.mesh | Clinical Trials, Phase I As Topic - Statistics & Numerical Data | en_US |
dc.subject.mesh | Clinical Trials, Phase Ii As Topic - Statistics & Numerical Data | en_US |
dc.subject.mesh | Dose-Response Relationship, Drug | en_US |
dc.subject.mesh | Female | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Likelihood Functions | en_US |
dc.subject.mesh | Logistic Models | en_US |
dc.subject.mesh | Models, Statistical | en_US |
dc.subject.mesh | Odds Ratio | en_US |
dc.subject.mesh | Toxicology - Statistics & Numerical Data | en_US |
dc.title | Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Yin, G: gyin@hku.hk | en_HK |
dc.identifier.authority | Yin, G=rp00831 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1111/j.1541-0420.2006.00534.x | en_HK |
dc.identifier.pmid | 16984320 | - |
dc.identifier.scopus | eid_2-s2.0-33748795036 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-33748795036&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 62 | en_HK |
dc.identifier.issue | 3 | en_HK |
dc.identifier.spage | 777 | en_HK |
dc.identifier.epage | 787+955 | en_HK |
dc.identifier.isi | WOS:000240708300020 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Yin, G=8725807500 | en_HK |
dc.identifier.scopusauthorid | Li, Y=15765879600 | en_HK |
dc.identifier.scopusauthorid | Ji, Y=36570526400 | en_HK |
dc.identifier.citeulike | 847467 | - |
dc.identifier.issnl | 0006-341X | - |