Abstract
In drug development, when the drug class has a relatively well-defined path to regulatory approval and the enrollment is slow with certain patient populations, one may want to consider combining studies of different phases. This article considers combining a proof of concept (POC) study and a dose-finding (DF) study with a control treatment. Conventional DF study designs sometimes are not efficient, or do not have a high probability to find the optimal dose(s) for Phase III trials. This article seeks more efficient DF strategies that allow the economical testing of more doses. Hypothetical examples are simulated to compare the proposed adaptive design vs. the conventional design based on different models of the overall quantitative representation of efficacy, safety, and tolerability. The results show that the proposed adaptive design tests more active doses with higher power and comparable or smaller sample size in a shorter overall study duration for POC and DF, compared with a conventional design.
Original language | English |
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Pages (from-to) | 912-923 |
Number of pages | 12 |
Journal | Journal of Biopharmaceutical Statistics |
Volume | 26 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2 Sept 2016 |
Scopus Subject Areas
- Statistics and Probability
- Pharmacology
- Pharmacology (medical)
User-Defined Keywords
- Adaptive design
- dose finding
- proof of concept
- seamless design
- utility