Optimal Failure-Success Response-Adaptive Designs for Binary Responses
Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportio...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Lanju [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2007 |
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| Anmerkung: |
© Drug Information Association, Inc 2007 |
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| Übergeordnetes Werk: |
Enthalten in: Therapeutic innovation & regulatory science - [New York] : Springer Nature, 2013, 41(2007), 6 vom: Nov., Seite 709-718 |
|---|---|
| Übergeordnetes Werk: |
volume:41 ; year:2007 ; number:6 ; month:11 ; pages:709-718 |
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| DOI / URN: |
10.1177/009286150704100603 |
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| 520 | |a Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically. | ||
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10.1177/009286150704100603 doi (DE-627)SPR038917289 (SPR)009286150704100603-e DE-627 ger DE-627 rakwb eng Zhang, Lanju verfasserin aut Optimal Failure-Success Response-Adaptive Designs for Binary Responses 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Drug Information Association, Inc 2007 Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically. Biswas, Atanu aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 41(2007), 6 vom: Nov., Seite 709-718 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:41 year:2007 number:6 month:11 pages:709-718 https://dx.doi.org/10.1177/009286150704100603 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_120 GBV_ILN_121 GBV_ILN_150 AR 41 2007 6 11 709-718 |
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10.1177/009286150704100603 doi (DE-627)SPR038917289 (SPR)009286150704100603-e DE-627 ger DE-627 rakwb eng Zhang, Lanju verfasserin aut Optimal Failure-Success Response-Adaptive Designs for Binary Responses 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Drug Information Association, Inc 2007 Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically. Biswas, Atanu aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 41(2007), 6 vom: Nov., Seite 709-718 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:41 year:2007 number:6 month:11 pages:709-718 https://dx.doi.org/10.1177/009286150704100603 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_120 GBV_ILN_121 GBV_ILN_150 AR 41 2007 6 11 709-718 |
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10.1177/009286150704100603 doi (DE-627)SPR038917289 (SPR)009286150704100603-e DE-627 ger DE-627 rakwb eng Zhang, Lanju verfasserin aut Optimal Failure-Success Response-Adaptive Designs for Binary Responses 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Drug Information Association, Inc 2007 Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically. Biswas, Atanu aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 41(2007), 6 vom: Nov., Seite 709-718 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:41 year:2007 number:6 month:11 pages:709-718 https://dx.doi.org/10.1177/009286150704100603 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_120 GBV_ILN_121 GBV_ILN_150 AR 41 2007 6 11 709-718 |
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Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically. © Drug Information Association, Inc 2007 |
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Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically. © Drug Information Association, Inc 2007 |
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Abstract We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically. © Drug Information Association, Inc 2007 |
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