An urn model for odds ratio based adaptive phase III clinical trials
Research output: Contribution to journal › Article
We study the limiting behaviour of a generalized Polya urn, motivated by adaptive data-dependent allocation designs, which are used in Phase III clinical trials in order to allocate a larger number of patients to the better treatment. We establish rigorous limiting results for the model, including the Central Limit Theorem, thus providing the theoretical background for using the odds ratio-based adaptive designs.
|Research areas and keywords||
Subject classification (UKÄ) – MANDATORY
|Journal||Markov Processes and Related Fields|
|Publication status||Published - 2008|