A hypothesis test of feasibility for external pilot trials assessing recruitment, follow-up, and adherence rates.

Autor: Wilson DT; Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK., Brown J; Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK., Farrin AJ; Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK., Walwyn REA; Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.
Jazyk: angličtina
Zdroj: Statistics in medicine [Stat Med] 2021 Sep 20; Vol. 40 (21), pp. 4714-4731. Date of Electronic Publication: 2021 Jun 14.
DOI: 10.1002/sim.9091
Abstrakt: The power of a large clinical trial can be adversely affected by low recruitment, follow-up, and adherence rates. External pilot trials estimate these rates and use them, via prespecified decision rules, to determine if the definitive trial is feasible and should go ahead. There is little methodological research underpinning how these decision rules, or the sample size of the pilot, should be chosen. In this article we propose a hypothesis test of the feasibility of a definitive trial, to be applied to the external pilot data and used to make progression decisions. We quantify feasibility by the power of the planned trial, as a function of recruitment, follow-up, and adherence rates. We use this measure to define hypotheses to test in the pilot, propose a test statistic, and show how the error rates of this test can be calculated for the common scenario of a two-arm parallel group definitive trial with a single normally distributed primary endpoint. We use our method to redesign TIGA-CUB, an external pilot trial comparing a psychotherapy with treatment as usual for children with conduct disorders. We then extend our formulation to include using the pilot data to estimate the standard deviation of the primary endpoint and incorporate this into the progression decision.
(© 2021 University of Leeds. Statistics in Medicine published by John Wiley & Sons Ltd.)
Databáze: MEDLINE