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Article: Kernel-based adaptive randomization toward balance in continuous and discrete covariates
Title | Kernel-based adaptive randomization toward balance in continuous and discrete covariates |
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Authors | |
Keywords | Biased coin design Clinical trial Covariate-adaptive randomization Covariate balance Pocock and simon design |
Issue Date | 2018 |
Publisher | Academia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/ |
Citation | Statistica Sinica, 2018, v. 28 n. 2018, p. 2841-2856 How to Cite? |
Abstract | Covariate balance among different treatment arms is critical in clinical trials, as confounding effects can be effectively eliminated when patients in different arms are alike. To balance the prognostic factors across different arms, we propose a new dynamic scheme for patient allocation. Our approach does not require discretizing continuous covariates to multiple categories, and can handle both continuous and discrete covariates naturally. This is achieved through devising a statistical measure to characterize the similarity between a new patient and all the existing patients in the trial. Under the similarity weighting scheme, we develop a covariate-adaptive biased coin design and establish its theoretical properties, thus improving the original Pocock-Simon design. We conduct extensive simulation studies to examine the design operating characteristics and we illustrate our method with a data example. The new approach is thereby demonstrated to be superior to existing methods in terms of performance. |
Persistent Identifier | http://hdl.handle.net/10722/245283 |
ISSN | 2023 Impact Factor: 1.5 2023 SCImago Journal Rankings: 1.368 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jiang, F | - |
dc.contributor.author | Ma, Y | - |
dc.contributor.author | Yin, G | - |
dc.date.accessioned | 2017-09-18T02:07:54Z | - |
dc.date.available | 2017-09-18T02:07:54Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Statistica Sinica, 2018, v. 28 n. 2018, p. 2841-2856 | - |
dc.identifier.issn | 1017-0405 | - |
dc.identifier.uri | http://hdl.handle.net/10722/245283 | - |
dc.description.abstract | Covariate balance among different treatment arms is critical in clinical trials, as confounding effects can be effectively eliminated when patients in different arms are alike. To balance the prognostic factors across different arms, we propose a new dynamic scheme for patient allocation. Our approach does not require discretizing continuous covariates to multiple categories, and can handle both continuous and discrete covariates naturally. This is achieved through devising a statistical measure to characterize the similarity between a new patient and all the existing patients in the trial. Under the similarity weighting scheme, we develop a covariate-adaptive biased coin design and establish its theoretical properties, thus improving the original Pocock-Simon design. We conduct extensive simulation studies to examine the design operating characteristics and we illustrate our method with a data example. The new approach is thereby demonstrated to be superior to existing methods in terms of performance. | - |
dc.language | eng | - |
dc.publisher | Academia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/ | - |
dc.relation.ispartof | Statistica Sinica | - |
dc.subject | Biased coin design | - |
dc.subject | Clinical trial | - |
dc.subject | Covariate-adaptive randomization | - |
dc.subject | Covariate balance | - |
dc.subject | Pocock and simon design | - |
dc.title | Kernel-based adaptive randomization toward balance in continuous and discrete covariates | - |
dc.type | Article | - |
dc.identifier.email | Jiang, F: feijiang@hku.hk | - |
dc.identifier.email | Yin, G: gyin@hku.hk | - |
dc.identifier.authority | Jiang, F=rp02185 | - |
dc.identifier.authority | Yin, G=rp00831 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.5705/ss.202016.0538 | - |
dc.identifier.scopus | eid_2-s2.0-85054553558 | - |
dc.identifier.hkuros | 276190 | - |
dc.identifier.volume | 28 | - |
dc.identifier.issue | 2018 | - |
dc.identifier.spage | 2841 | - |
dc.identifier.epage | 2856 | - |
dc.identifier.isi | WOS:000450217700058 | - |
dc.publisher.place | Taiwan, Republic of China | - |
dc.identifier.issnl | 1017-0405 | - |