| Optimal sample size for a series of pilot trials of new agents. | |
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MedLine Citation:
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PMID: 8805764 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A new approach is presented for determining the appropriate sample sizes for a series of screening trials to identify promising new therapeutic agents. The formulation of the problem is motivated by recognition of the fact that screening of new agents is a continuing process. Consequently, it does not seem ideal to fix the overall total sample size, as previous authors have done. Instead we fix the error rates and optimize the individual sample sizes to minimize the time to identify a promising agent, using an empirical Bayes formulation. When applied to data from the large historical experience of exploratory vaccination trials at Memorial Sloan-Kettering Cancer Center, the method demonstrates that relatively small individual screening trials are optimal in this setting. The reliability of the results is evaluated using bootstrapping techniques. |
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Authors:
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T J Yao; C B Begg; P O Livingston |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Biometrics Volume: 52 ISSN: 0006-341X ISO Abbreviation: Biometrics Publication Date: 1996 Sep |
Date Detail:
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Created Date: 1996-11-06 Completed Date: 1996-11-06 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 0370625 Medline TA: Biometrics Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 992-1001 Citation Subset: IM |
Affiliation:
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Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Bayes Theorem Biometry Cancer Vaccines / therapeutic use Clinical Trials as Topic / methods*, statistics & numerical data Humans Melanoma / therapy Models, Statistical Neoplasms / therapy Pilot Projects Sample Size |
| Grant Support | |
ID/Acronym/Agency:
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CA-33049/CA/NCI NIH HHS; CA-69224/CA/NCI NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Cancer Vaccines |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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