In:
Future Cardiology, Future Medicine Ltd, Vol. 14, No. 2 ( 2018-03), p. 143-150
Abstract:
Escalating costs of cardiovascular trials are limiting medical innovations, prompting the development of more efficient and flexible study designs. The Bayesian paradigm offers a framework conducive to adaptive trial methodologies and is well suited for the study of small populations. Bayesian adaptive trials provide a statistical structure for combining prior information with accumulating data to compute probabilities of unknown quantities of interest. Adaptive design features are useful in modifying randomization schemes, adjusting sample sizes and providing continuous surveillance to guide decisions on dropping study arms or premature trial interruption. Advantages include greater efficiency, minimization of risks, inclusion of knowledge as it is generated, cost savings and more intuitive interpretability. Extensive high-level computations are facilitated by an expanding armamentarium of available tools.
Type of Medium:
Online Resource
ISSN:
1479-6678
,
1744-8298
DOI:
10.2217/fca-2017-0040
Language:
English
Publisher:
Future Medicine Ltd
Publication Date:
2018
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