Literature DB >> 26563445

Discussion on the paper "Real-Time Prediction of Clinical Trial Enrollment and Event Counts: A Review", by DF Heitjan, Z Ge, and GS Ying.

Vladimir V Anisimov1.   

Abstract

Entities:  

Keywords:  Event count; Mixed models; Patient enrollment; Poisson process; Prediction

Mesh：

Year:  2015        PMID： 26563445     DOI： 10.1016/j.cct.2015.11.008

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN： 1551-7144            Impact factor:   2.226


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  5 in total

1.  Milestone prediction for time-to-event endpoint monitoring in clinical trials.

Authors:  Fang-Shu Ou; Martin Heller; Qian Shi
Journal:  Pharm Stat       Date:  2019-02-26       Impact factor: 1.894

2.  Bayesian accrual modeling and prediction in multicenter clinical trials with varying center activation times.

Authors:  Junhao Liu; Jo Wick; Yu Jiang; Matthew Mayo; Byron Gajewski
Journal:  Pharm Stat       Date:  2020-04-21       Impact factor: 1.894

3.  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

4.  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.  Does asymmetry in patient recruitment in large critical care trials follow the Pareto principle?

Authors:  Mahesh Ramanan; Laurent Billot; Dorrilyn Rajbhandari; John Myburgh; Simon Finfer; Rinaldo Bellomo; Balasubramanian Venkatesh
Journal:  Trials       Date:  2020-05-05       Impact factor: 2.279
  5 in total

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