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Statistical considerations of FDA and CPMP rules for the investigation of new anti‐bacterial products
Author(s) -
Röhmel Joachim
Publication year - 2001
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.729
Subject(s) - margin (machine learning) , econometrics , computer science , statement (logic) , statistics , clinical trial , statistical analysis , medicine , data mining , mathematics , machine learning , pathology , political science , law
In this paper I investigate statistical properties of some guidance given by the FDA and by the CPMP on the planning, conduct and analysis of clinical trials with new anti‐bacterial substances using an active control design. It is demonstrated that the non‐inferiority margin proposed by the FDA has some undesirable features, and that the CPMP guidance may need further interpretation with respect to a statement that the non‐inferiority margin may be smaller than 10 per cent for response rates >90 per cent. A new margin is proposed that combines the desirable properties from both the FDA and the CPMP guidance. It is also shown that the approximate unconditional tests that are in use in such trials are quite unreliable with respect to preserving the nominal type I error. Unconditional exact tests are presented as a remedy for this issue. Copyright © 2001 John Wiley & Sons, Ltd.