Sequential designs for dose escalation studies in oncology. (English) Zbl 1347.62232
Summary: In Phase I dose escalation studies the 3 + 3 design is a commonly used method. We suggest a modification of this method to include a parametric model and the concepts of optimal design theory, with the aim of improving this method. The performance of the original and the new approach are investigated by simulations.
MSC:
| 62P10 | Applications of statistics to biology and medical sciences; meta analysis |
| 62K05 | Optimal statistical designs |
| 62L05 | Sequential statistical design |
References:
| [1] | Cox D., Theoretical Statistics (2000) · Zbl 0334.62003 |
| [2] | Dragalin V., Optimal designs for bivariate probit model (2006) |
| [3] | DOI: 10.1007/978-1-4612-0703-0 · doi:10.1007/978-1-4612-0703-0 |
| [4] | DOI: 10.1002/sim.3037 · doi:10.1002/sim.3037 |
| [5] | DOI: 10.1007/0-387-33706-7 · Zbl 1129.62106 · doi:10.1007/0-387-33706-7 |
| [6] | DOI: 10.1080/10543409808835252 · Zbl 0957.62005 · doi:10.1080/10543409808835252 |
| [7] | Zhou Y., Bayesian ADEPT: Operating Manual (2002) |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
