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Operating characteristics of the standard phase I clinical trial design

✍ Scribed by Ethan Reiner; Xavier Paoletti; John O'Quigley


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
208 KB
Volume
30
Category
Article
ISSN
0167-9473

No coin nor oath required. For personal study only.

✦ Synopsis


In this communication we study the statistical properties of a widely used method for Phase I clinical trials. The designs typically applied in this context are derived from ΓΏxed sample versions of the Up and Down scheme deΓΏned by . Earlier investigations such as those by and concentrate mainly on the asymptotic and ΓΏxed sample properties of these procedures without dealing with the issue of early stopping. Our main focus is the standard scheme which includes a stopping rule as described by . Since it is felt that the advantage of the stopping rule is to use less subjects and to quickly proceed to phase II trials, we study the relationship between the total number of included patients and accuracy of the ΓΏnal recommendation. The error probabilities can all be worked out explicitly in any given situation and are studied over a large class of possible realities. We conclude that for trials that terminate after the inclusion of relatively few subjects the risk of choosing an incorrect level is large; much larger, we suspect, than is generally believed to be the case. Furthermore, it seems that any trial using such a stopping rule and concluding after having included less than 15 subjects is too unreliable to be of any use at all.


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