Optimal two-stage design for a series of pilot trials of new agents Journal Article
| Authors: | Yao, T. J.; Venkatraman, E. S. |
| Article Title: | Optimal two-stage design for a series of pilot trials of new agents |
| Abstract: | An approach to determine the appropriate sample sizes for a series of screening trials to identify promising new therapeutic agents was presented by Yao, Begg, and Livingston (1996, Biometrics 52, 992-1001). This approach is now improved to a two-stage design that further minimizes the time to identify a promising agent under fixed error rates. When applied to data from the historical experience of exploratory vaccination trials at Memorial Sloan-Kettering Cancer Center, the method demonstrates that relatively small individual screening trials are optimal. The reliability of the results is evaluated using the bootstrap. |
| Keywords: | neoplasms; accuracy; melanoma; drug research; cancer vaccines; pilot projects; vaccination; data analysis; reliability; clinical trials; biometry; sample size; sample; empirical bayes; two-stage design; bootstrap; humans; article; screening clinical trials |
| Journal Title: | Biometrics |
| Volume: | 54 |
| Issue: | 3 |
| ISSN: | 0006-341X |
| Publisher: | Wiley Blackwell |
| Date Published: | 1998-09-01 |
| Start Page: | 1183 |
| End Page: | 1189 |
| Language: | English |
| DOI: | 10.2307/2533868 |
| PUBMED: | 9750258 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Article -- Export Date: 12 December 2016 -- Source: Scopus |
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