goldilocks-package {goldilocks} | R Documentation |
goldilocks: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Description
Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues doi:10.1080/10543406.2014.888569, which allows users to explore the operating characteristics of different trial designs.
Author(s)
Maintainer: Graeme L. Hickey graemeleehickey@gmail.com (ORCID)
Authors:
Ying Wan ying.wan@bd.com
Thevaa Chandereng tc3123@cumc.columbia.edu (ORCID) (bayesDP code as a template)
Other contributors:
Becton, Dickinson and Company [copyright holder]
Tim Kacprowski t.kacprowski@tu-braunschweig.de (For code from fastlogrank R package.) [contributor]
See Also
Useful links:
Report bugs at https://github.com/graemeleehickey/goldilocks/issues