Abstract:
:Early phase trials of complex interventions currently focus on assessing the feasibility of a large randomised control trial and on conducting pilot work. Assessing the efficacy of the proposed intervention is generally discouraged, due to concerns of underpowered hypothesis testing. In contrast, early assessment of efficacy is common for drug therapies, where phase II trials are often used as a screening mechanism to identify promising treatments. In this paper, we outline the challenges encountered in extending ideas developed in the phase II drug trial literature to the complex intervention setting. The prevalence of multiple endpoints and clustering of outcome data are identified as important considerations, having implications for timely and robust determination of optimal trial design parameters. The potential for Bayesian methods to help to identify robust trial designs and optimal decision rules is also explored.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Wilson DT,Walwyn RE,Brown J,Farrin AJ,Brown SRdoi
10.1177/0962280215589507subject
Has Abstractpub_date
2016-06-01 00:00:00pages
997-1009issue
3eissn
0962-2802issn
1477-0334pii
0962280215589507journal_volume
25pub_type
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