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- Publisher Website: 10.1002/pst.1889
- Scopus: eid_2-s2.0-85051061984
- PMID: 30066466
- WOS: WOS:000450011300004
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Article: Uniformly most powerful Bayesian interval design for phase I dose-finding trials
Title | Uniformly most powerful Bayesian interval design for phase I dose-finding trials |
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Authors | |
Keywords | Bayes factor dose finding interval design maximum tolerated dose uniformly most powerful Bayesian test |
Issue Date | 2018 |
Publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1539-1604/ |
Citation | Pharmaceutical Statistics, 2018, v. 17 n. 6, p. 710-724 How to Cite? |
Abstract | Interval designs have recently attracted much attention in phase I clinical trials because of their simplicity and desirable finite‐sample performance. However, existing interval designs typically cannot converge to the optimal dose level since their intervals do not shrink to the target toxicity probability as the sample size increases. The uniformly most powerful Bayesian test (UMPBT) is an objective Bayesian hypothesis testing procedure, which results in the largest probability that the Bayes factor against null hypothesis exceeds the evidence threshold for all possible values of the data generating parameter. On the basis of the rejection region of UMPBT, we develop the uniformly most powerful Bayesian interval (UMPBI) design for phase I dose‐finding trials. The proposed UMPBI design enjoys convergence properties because the induced interval indeed shrinks to the toxicity target and the recommended dose converges to the true maximum tolerated dose as the sample size increases. Moreover, it possesses an optimality property that the probability of incorrect decisions is minimized. We conduct simulation studies to demonstrate the competitive finite‐sample operating characteristics of the UMPBI in comparison with other existing interval designs. As an illustration, we apply the UMPBI design to a panitumumab and standard gemcitabine‐based chemoradiation combination trial. |
Persistent Identifier | http://hdl.handle.net/10722/279513 |
ISSN | 2023 Impact Factor: 1.3 2023 SCImago Journal Rankings: 1.074 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | LIN, R | - |
dc.contributor.author | Yin, G | - |
dc.date.accessioned | 2019-11-01T07:18:48Z | - |
dc.date.available | 2019-11-01T07:18:48Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Pharmaceutical Statistics, 2018, v. 17 n. 6, p. 710-724 | - |
dc.identifier.issn | 1539-1604 | - |
dc.identifier.uri | http://hdl.handle.net/10722/279513 | - |
dc.description.abstract | Interval designs have recently attracted much attention in phase I clinical trials because of their simplicity and desirable finite‐sample performance. However, existing interval designs typically cannot converge to the optimal dose level since their intervals do not shrink to the target toxicity probability as the sample size increases. The uniformly most powerful Bayesian test (UMPBT) is an objective Bayesian hypothesis testing procedure, which results in the largest probability that the Bayes factor against null hypothesis exceeds the evidence threshold for all possible values of the data generating parameter. On the basis of the rejection region of UMPBT, we develop the uniformly most powerful Bayesian interval (UMPBI) design for phase I dose‐finding trials. The proposed UMPBI design enjoys convergence properties because the induced interval indeed shrinks to the toxicity target and the recommended dose converges to the true maximum tolerated dose as the sample size increases. Moreover, it possesses an optimality property that the probability of incorrect decisions is minimized. We conduct simulation studies to demonstrate the competitive finite‐sample operating characteristics of the UMPBI in comparison with other existing interval designs. As an illustration, we apply the UMPBI design to a panitumumab and standard gemcitabine‐based chemoradiation combination trial. | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1539-1604/ | - |
dc.relation.ispartof | Pharmaceutical Statistics | - |
dc.subject | Bayes factor | - |
dc.subject | dose finding | - |
dc.subject | interval design | - |
dc.subject | maximum tolerated dose | - |
dc.subject | uniformly most powerful Bayesian test | - |
dc.title | Uniformly most powerful Bayesian interval design for phase I dose-finding trials | - |
dc.type | Article | - |
dc.identifier.email | Yin, G: gyin@hku.hk | - |
dc.identifier.authority | Yin, G=rp00831 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/pst.1889 | - |
dc.identifier.pmid | 30066466 | - |
dc.identifier.scopus | eid_2-s2.0-85051061984 | - |
dc.identifier.hkuros | 308632 | - |
dc.identifier.volume | 17 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 710 | - |
dc.identifier.epage | 724 | - |
dc.identifier.isi | WOS:000450011300004 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 1539-1604 | - |