Literature DB >> 26347306

Fractional Brownian motion and long term clinical trial recruitment.

Qiang Zhang1, Dejian Lai2.   

Abstract

Prediction of recruitment in clinical trials has been a challenging task. Many methods have been studied, including models based on Poisson process and its large sample approximation by Brownian motion (BM), however, when the independent incremental structure is violated for BM model, we could use fractional Brownian motion to model and approximate the underlying Poisson processes with random rates. In this paper, fractional Brownian motion (FBM) is considered for such conditions and compared to BM model with illustrated examples from different trials and simulations.

Entities:  

Keywords:  Brownian motion; Fractional Brownian motion; Prediction; Recruitment

Year:  2011        PMID: 26347306      PMCID: PMC4558924          DOI: 10.1016/j.jspi.2010.11.028

Source DB:  PubMed          Journal:  J Stat Plan Inference        ISSN: 0378-3758            Impact factor:   1.111


  8 in total

1.  Application of stochastic processes to participant recruitment in clinical trials.

Authors:  Rickey Edward Carter
Journal:  Control Clin Trials       Date:  2004-10

2.  Monitoring recruitment effectiveness and cost in a clinical trial.

Authors:  W M Bjornson-Benson; T B Stibolt; K A Manske; K J Zavela; D J Youtsey; A S Buist
Journal:  Control Clin Trials       Date:  1993-04

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Authors:  Y J Lee
Journal:  J Chronic Dis       Date:  1983

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Authors:  W O Williford; S F Bingham; D G Weiss; J F Collins; K T Rains; W F Krol
Journal:  J Chronic Dis       Date:  1987

5.  Comparison of recruitment strategies for a large-scale clinical trial in the elderly.

Authors:  C A Silagy; K Campion; J J McNeil; B Worsam; G A Donnan; A M Tonkin
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

6.  Modelling, prediction and adaptive adjustment of recruitment in multicentre trials.

Authors:  Vladimir V Anisimov; Valerii V Fedorov
Journal:  Stat Med       Date:  2007-11-30       Impact factor: 2.373

7.  Baseline characteristics in the Cholesterol and Recurrent Events (CARE) trial of secondary prevention in patients with average serum cholesterol levels.

Authors:  F M Sacks; J L Rouleau; L A Moye; M A Pfeffer; J W Warnica; J M Arnold; D T Nash; L E Brown; F Sestier; J Rutherford
Journal:  Am J Cardiol       Date:  1995-03-15       Impact factor: 2.778

Review 8.  A systematic review of models to predict recruitment to multicentre clinical trials.

Authors:  Katharine D Barnard; Louise Dent; Andrew Cook
Journal:  BMC Med Res Methodol       Date:  2010-07-06       Impact factor: 4.615

  8 in total

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