Literature DB >> 29991276

Statistical Practices of Safety Monitoring: An Industry Survey.

Michael W Colopy1, Robert Gordon2, Faiz Ahmad3, William W Wang4, Susan P Duke5, Greg Ball4.   

Abstract

The Biopharmaceutical Section of the American Statistical Association (ASA) formed a Safety Monitoring Working Group to strengthen collaborations between biostatisticians and safety scientists. The task began by surveying current needs and practices regarding available statistical safety tools and methods, regulatory guidance, and processes needed to support their implementation. The goal is for biostatisticians to become fully engaged safety team members by having the necessary safety skill set including appropriate methodology, regulatory guidance and access to appropriate tools. In this publication, we will discuss our survey results that reveal current practices at 22 pharmaceutical companies and demonstrate how the survey instrument can be used to map an action plan for meeting the demand for improved quantitative safety monitoring.

Keywords:  biostatistician; interviews; regulatory guidance; safety monitoring; survey

Mesh:

Year:  2018        PMID: 29991276     DOI: 10.1177/2168479018779973

Source DB:  PubMed          Journal:  Ther Innov Regul Sci        ISSN: 2168-4790            Impact factor:   1.778


  3 in total

1.  Visualising harms in publications of randomised controlled trials: consensus and recommendations.

Authors:  Rachel Phillips; Suzie Cro; Graham Wheeler; Simon Bond; Tim P Morris; Siobhan Creanor; Catherine Hewitt; Sharon Love; Andre Lopes; Iryna Schlackow; Carrol Gamble; Graeme MacLennan; Chris Habron; Anthony C Gordon; Nikhil Vergis; Tianjing Li; Riaz Qureshi; Colin C Everett; Jane Holmes; Amanda Kirkham; Clare Peckitt; Sarah Pirrie; Norin Ahmed; Laura Collett; Victoria Cornelius
Journal:  BMJ       Date:  2022-05-16

2.  Understanding current practice, identifying barriers and exploring priorities for adverse event analysis in randomised controlled trials: an online, cross-sectional survey of statisticians from academia and industry.

Authors:  Rachel Phillips; Victoria Cornelius
Journal:  BMJ Open       Date:  2020-06-11       Impact factor: 2.692

3.  Comparison of statistical methods for the analysis of recurrent adverse events in the presence of non-proportional hazards and unobserved heterogeneity: a simulation study.

Authors:  Noel Patson; Mavuto Mukaka; Lawrence Kazembe; Marinus J C Eijkemans; Don Mathanga; Miriam K Laufer; Tobias Chirwa
Journal:  BMC Med Res Methodol       Date:  2022-01-20       Impact factor: 4.615

  3 in total

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