Leeds Institute of Clinical Trials Research, Faculty of Medicine and Health, University of Leeds, Leeds, UK.
Biostatistics Research Group, Institute of Health and Society, Newcastle University, Newcastle Upon Tyne, UK.
Trials. 2024 Feb 10;25(1):113. doi: 10.1186/s13063-024-07940-1.
Statisticians are fundamental in ensuring clinical research, including clinical trials, are conducted with quality, transparency, reproducibility and integrity. Good Clinical Practice (GCP) is an international quality standard for the conduct of clinical trials research. Statisticians are required to undertake training on GCP but existing training is generic and, crucially, does not cover statistical activities. This results in statisticians undertaking training mostly unrelated to their role and variation in awareness and implementation of relevant regulatory requirements with regards to statistical conduct. The need for role-relevant training is recognised by the UK NHS Health Research Authority and the Medicines and Healthcare products Regulatory Agency (MHRA).
The Good Statistical Practice (GCP for Statisticians) project was instigated by the UK Clinical Research Collaboration (UKCRC) Registered Clinical Trials Unit (CTU) Statisticians Operational Group and funded by the National Institute for Health and Care Research (NIHR), to develop materials to enable role-specific GCP training tailored to statisticians. Review of current GCP training was undertaken by survey. Development of training materials were based on MHRA GCP. Critical review and piloting was conducted with UKCRC CTU and NIHR researchers with comment from MHRA. Final review was conducted through the UKCRC CTU Statistics group.
The survey confirmed the need and desire for the development of dedicated GCP training for statisticians. An accessible, comprehensive, piloted training package was developed tailored to statisticians working in clinical research, particularly the clinical trials arena. The training materials cover legislation and guidance for best practice across all clinical trial processes with statistical involvement, including exercises and real-life scenarios to bridge the gap between theory and practice. Comprehensive feedback was incorporated. The training materials are freely available for national and international adoption.
All research staff should have training in GCP yet the training undertaken by most academic statisticians does not cover activities related to their role. The Good Statistical Practice (GCP for Statisticians) project has developed and extensively piloted new, role-specific, comprehensive, accessible GCP training tailored to statisticians working in clinical research, particularly the clinical trials arena. This role-specific training will encourage best practice, leading to transparent and reproducible statistical activity, as required by regulatory authorities and funders.
统计学家在确保临床研究(包括临床试验)的质量、透明度、可重复性和完整性方面发挥着重要作用。良好临床规范(GCP)是进行临床试验研究的国际质量标准。统计学家需要接受 GCP 培训,但现有的培训是通用的,而且关键是,它没有涵盖统计活动。这导致统计学家接受的培训与他们的角色大多不相关,并且在统计行为方面对相关监管要求的认识和实施存在差异。英国国民保健署(NHS)健康研究局和药品和医疗保健产品监管局(MHRA)都认识到需要进行与角色相关的培训。
英国临床研究协作组织(UKCRC)注册临床试验单位(CTU)统计学家业务组发起了良好统计实践(GCP 统计学家)项目,并由英国国家卫生与保健研究院(NIHR)资助,旨在开发材料,使统计学家能够接受专门针对其角色的特定 GCP 培训。通过调查对当前 GCP 培训进行了审查。培训材料的开发基于 MHRA GCP。与 UKCRC CTU 和 NIHR 研究人员进行了关键审查和试点,并征求了 MHRA 的意见。最终审查由 UKCRC CTU 统计小组进行。
调查证实了为统计学家开发专门的 GCP 培训的必要性和愿望。开发了一套易于访问、全面、经过试点的培训包,专门针对从事临床研究的统计学家,特别是临床试验领域的统计学家。培训材料涵盖了涉及统计参与的所有临床试验过程的最佳实践的立法和指导,包括练习和现实场景,以弥合理论与实践之间的差距。全面的反馈意见已被纳入。培训材料可供国内外采用。
所有研究人员都应该接受 GCP 培训,但大多数学术统计学家接受的培训并没有涵盖与他们的角色相关的活动。良好统计实践(GCP 统计学家)项目已经开发并广泛试点了新的、专门针对在临床研究中工作的统计学家(特别是临床试验领域)的、全面的、易于访问的、特定于角色的 GCP 培训。这种特定于角色的培训将鼓励最佳实践,从而满足监管机构和资助者对透明和可重复的统计活动的要求。