Literature DB >> 6853664

Interim recruitment goals in clinical trials.

Y J Lee.   

Abstract

The recruitment rate or duration of a clinical trial must be so determined that the required number of patients may be assured within the given design frame. Establishing interim recruitment goals in clinical trials will not only help keep the clinical investigator from falling too far behind in recruitment but will also enable the sponsor of the study to decide in the early stages of the study whether the investigator can achieve the final recruitment goal. We propose statistical methods for determining a proper recruitment rate, duration and interim recruitment goals. A method of projecting the final recruitment at interims and a method of adjusting the recruitment duration at interims are discussed. Seasonal adjustment methods are also noted.

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Year:  1983        PMID: 6853664     DOI: 10.1016/0021-9681(83)90170-4

Source DB:  PubMed          Journal:  J Chronic Dis        ISSN: 0021-9681


  5 in total

1.  Evaluating the efficacy of functional electrical stimulation therapy assisted walking after chronic motor incomplete spinal cord injury: effects on bone biomarkers and bone strength.

Authors:  B Catharine Craven; Lora M Giangregorio; S Mohammad Alavinia; Lindsie A Blencowe; Naaz Desai; Sander L Hitzig; Kei Masani; Milos R Popovic
Journal:  J Spinal Cord Med       Date:  2017-09-20       Impact factor: 1.985

2.  Interim recruitment prediction for multi-center clinical trials.

Authors:  Szymon Urbas; Chris Sherlock; Paul Metcalfe
Journal:  Biostatistics       Date:  2022-04-13       Impact factor: 5.899

3.  Fractional Brownian motion and long term clinical trial recruitment.

Authors:  Qiang Zhang; Dejian Lai
Journal:  J Stat Plan Inference       Date:  2011-05-01       Impact factor: 1.111

4.  Concept and development of an interactive tool for trial recruitment planning and management.

Authors:  Ruan Spies; Nandi Siegfried; Bronwyn Myers; Sara S Grobbelaar
Journal:  Trials       Date:  2021-03-06       Impact factor: 2.279

5.  How to deal with the Poisson-gamma model to forecast patients' recruitment in clinical trials when there are pauses in recruitment dynamic?

Authors:  Nathan Minois; Stéphanie Savy; Valérie Lauwers-Cances; Sandrine Andrieu; Nicolas Savy
Journal:  Contemp Clin Trials Commun       Date:  2017-01-06
  5 in total

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