Statistical Practices of Safety Monitoring: An Industry Survey

被引:0
|
作者
Michael W. Colopy
Robert Gordon
Faiz Ahmad
William W. Wang
Susan P. Duke
Greg Ball
机构
[1] UCB BioSciences,Statistical Sciences & Innovation
[2] Janssen Research & Development LLC,Statistics and Decision Sciences
[3] Galderma R&D,US Biostatistics
[4] Merck Research Laboratories,Biostatistics and Research Decision Sciences
[5] AbbVie,Department of Statistics
关键词
safety monitoring; regulatory guidance; interviews; survey; biostatistician;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:293 / 300
页数:7
相关论文
共 50 条
  • [31] Statistical rules for safety monitoring in clinical trials
    Martens, Michael J.
    Logan, Brent R.
    CLINICAL TRIALS, 2024, 21 (02) : 152 - 161
  • [32] A Survey on Fire Safety Measures for Industry Safety Using IOT
    Savitha, N.
    Malathi, S.
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES 2018), 2018, : 1199 - 1205
  • [33] Statistical Monitoring of Longitudinal Categorical Survey Data
    Zhang, Chen
    Chen, Nan
    2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2015, : 1397 - 1401
  • [34] Survey on recursive statistical process monitoring methods
    Wang, Youqing
    Qin, Yihao
    Lou, Zhijiang
    Ma, Xin
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2022, 100 (09): : 2093 - 2103
  • [35] Longitudinal Monitoring of Athletes: Statistical Issues and Best Practices
    Bailey, Chris
    JOURNAL OF SCIENCE IN SPORT AND EXERCISE, 2019, 1 (03) : 217 - 227
  • [36] Adverse Drug Reaction Case Safety Practices in Large Biopharmaceutical Organizations from 2007 to 2017: An Industry Survey
    Stella Stergiopoulos
    Mortiz Fehrle
    Patrick Caubel
    Louise Tan
    Louise Jebson
    Pharmaceutical Medicine, 2019, 33 : 499 - 510
  • [37] Adverse Drug Reaction Case Safety Practices in Large Biopharmaceutical Organizations from 2007 to 2017: An Industry Survey
    Stergiopoulos, Stella
    Fehrle, Mortiz
    Caubel, Patrick
    Tan, Louise
    Jebson, Louise
    PHARMACEUTICAL MEDICINE, 2019, 33 (06) : 499 - 510
  • [38] NOAELs or not in safety pharmacology-An industry survey
    Andersen, Ninette
    Authier, Simon
    Bass, Alan
    Baird, Ted
    Bhatt, Siddhartha
    Curtis, Michael
    Dragsted, Nils
    Engwall, Michael
    Jones, David
    Lassen, Anders
    Laursen, Morten
    Leishman, Derek J.
    Markgraf, Carrie
    Mow, Tomas
    Raida, Zindy
    Traebert, Martin
    Valentin, Jean-Pierre
    JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS, 2018, 93 : 172 - 173
  • [39] Current Trends of Practices in Nonclinical Toxicology: An Industry Survey
    Authier, Simon
    Brock, William J.
    Halpern, Wendy
    Harris, Stephanie N.
    Jones, David
    McGovern, Timothy
    McGovern, Pamela D.
    Pugsley, Michael K.
    INTERNATIONAL JOURNAL OF TOXICOLOGY, 2021, 40 (06) : 487 - 505
  • [40] A survey of control system validation practices in the food industry
    Ilyukhin, SV
    Haley, TA
    Singh, RK
    FOOD CONTROL, 2001, 12 (05) : 297 - 304