Abstract
This paper aims to investigate whether any bridge is possible between so-called best intention and D-optimum designs. It introduces combined criteria for dose optimisation in seamless phase I/II adaptive clinical trials. Each of the optimality criteria considers efficacy and toxicity as endpoints and is based on the probability of a successful outcome and on the determinant of the Fisher information matrix for estimation of the dose-response parameters. In addition, one of the criteria incorporates penalties for choosing a toxic or inefficacious dose. Starting with the lowest dose, the adaptive design selects the dose for each subsequent cohort that maximises the respective defined criterion. The methodology is illustrated with a dose-response model that assumes trinomial responses. Simulation studies show that the method is capable of identifying the optimal dose accurately without exposing many patients to toxic doses.
| Original language | English |
|---|---|
| Pages (from-to) | 4172-4188 |
| Number of pages | 17 |
| Journal | Statistics in Medicine |
| Volume | 38 |
| Issue number | 21 |
| DOIs | |
| Publication status | Published - 27 Jun 2019 |
Keywords
- adaptive design
- continuation ratio model
- D-optimum design
- penalty function
- phase I/II trial