An adaptive two-stage dose-response design method for establishing proof of concept.

J Biopharm Stat

Department of Biostatistics and Computational Biology, Dana-Faber Cancer Institute and Harvard School of Public Health, Boston, Massachusetts 02215, USA.

Published: March 2014

We propose an adaptive two-stage dose-response design where a prespecified adaptation rule is used to add and/or drop treatment arms between the stages. We extend the multiple comparison procedures-modeling (MCP-Mod) approach into a two-stage design. In each stage, we use the same set of candidate dose-response models and test for a dose-response relationship or proof of concept (PoC) via model-associated statistics. The stage-wise test results are then combined to establish "global" PoC using a conditional error function. Our simulation studies showed good and more robust power in our design method compared to conventional and fixed designs.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073119PMC
http://dx.doi.org/10.1080/10543406.2013.813519DOI Listing

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