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Stochastically Curtailed Tests Under Fractional Brownian Motion
Authors:Qiang Zhang  Dejian Lai  Barry R Davis
Institution:1. American College of Radiology, Philadelphia, Pennsylvania, USA;2. Department of Biostatistics &3. Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, USAEd.Zhang.Jr@gmail.com;5. School of Public Health, The University of Texas, Houston, Texas, USA;6. School of Statistics, Jiangxi University of Finance and Statistics, Nanchang, Jiangxi, China
Abstract:Stochastic curtailment has been considered for the interim monitoring of group sequential trials (Davis and Hardy, 1994). Statistical boundaries in Davis and Hardy (1994) were derived using theory of Brownian motion. In some clinical trials, the conditions of forming a Brownian motion may not be satisfied. In this paper, we extend the computations of Brownian motion based boundaries, expected stopping times, and type I and type II error rates to fractional Brownian motion (FBM). FBM includes Brownian motion as a special case. Designs under FBM are compared to those under Brownian motion and to those of O’Brien–Fleming type tests. One- and two-sided boundaries for efficacy and futility monitoring are also discussed. Results show that boundary values decrease and error rates deviate from design levels when the Hurst parameter increases from 0.1 to 0.9, these changes should be considered when designing a study under FBM.
Keywords:Brownian motion  Conditional power  Fractional Brownian motion  Group sequential trial  Stochastically curtailed tests
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