Document Detail

Optimal sample size for a series of pilot trials of new agents.
MedLine Citation:
PMID:  8805764     Owner:  NLM     Status:  MEDLINE    
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.
T J Yao; C B Begg; P O Livingston
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Biometrics     Volume:  52     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1996 Sep 
Date Detail:
Created Date:  1996-11-06     Completed Date:  1996-11-06     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  992-1001     Citation Subset:  IM    
Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA.
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MeSH Terms
Bayes Theorem
Cancer Vaccines / therapeutic use
Clinical Trials as Topic / methods*,  statistics & numerical data
Melanoma / therapy
Models, Statistical
Neoplasms / therapy
Pilot Projects
Sample Size
Grant Support
Reg. No./Substance:
0/Cancer Vaccines

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