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
Related Documents :
15785944 - A standardised method for measuring magnetisation transfer ratio on mr imagers from dif...
20682084 - The role of animal models in advancing amyloid-beta immunotherapy to the clinic.
16342924 - An alternative proposal for "mixed randomization" by schulz and grimes.
20018994 - Evaluating competency to stand trial with evidence-based practice.
18075934 - A nonparametric method for accommodating and testing across-site rate variation.
9685114 - Hmo data systems in population studies of access to care.
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.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
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

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Testing for homogeneity of Hardy-Weinberg disequilibrium using data sampled from several populations...
Next Document:  Intention-to-treat analyses for incomplete repeated measures data.