phuse_rbm_qtl
Data and code for Phuse RBM QTL survey data analysis white paper.
Science Score: 31.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (11.7%) to scientific vocabulary
Keywords
Repository
Data and code for Phuse RBM QTL survey data analysis white paper.
Basic Info
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- Stars: 1
- Watchers: 1
- Forks: 0
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Metadata Files
README.md
Phuse Risk Base Monitoring - Quality Tolerance Limits (RBM-QTL)
Introduction
This project supports the publication of the RBM-QTL white paper by generating necessary figures. Quality Tolerance Limits (QTL) are statistical tools used in pharmaceutical industries to ensure quality in clinical trials.
Project Goal
- Generate figures supporting the publication of the RBM-QTL white paper.
Generating Figures
Initial Work:
- Early exploratory analysis.
- Run the following command in R:
source("01_scripts/01_initial_work/04_runfile.R")
Selected Figures:
- Figures selected based on author feedback.
- Run the following command in R:
source("01_scripts/02_selected_figures/04b_selected_runfile.R")
Updated Figures:
- Figures updated based on reviewer feedback.
- Run the following command in R:
source("01_scripts/03_updated_figures/04c_updated_runfile.R")
Additional Information
- More details available on the PHUSE Workspace.
Folder Structure

Access the White Paper
Abstract
Risk-based quality management (RBQM) has been encouraged since 2013, when the EMA published a reflection paper on RBQM to support effective monitoring and quality of clinical trials RBQM applies the quality by design (QbD) principles, and, over the past several years, the industry’s understanding of a QbD approach to clinical trials has improved Using QbD encourages designing quality into a trial during the planning phase. The identification of critical to quality factors (CtQs) as part of QbD is key to implementing RBQM.
One method of monitoring risk associated with CtQs is to use quality tolerance limit (QTL) parameters which are linked to the key scientific question(s) of a trial and identify systemic issues that can jeopardize the integrity of trial endpoints.
This white paper aims to provide the reader with valuable insights into the depth and breadth of QTL use by surveying the industry. It will also address how QTLs are used in the wider scope of implementing RBQM and the direction of stakeholders, given that the regulations regarding the conduct of clinical trials continue to evolve.
Contact Information
For questions or support, please contact workinggroups@phuse.global.
Owner
- Name: Steven Ponce
- Login: poncest
- Kind: user
- Website: https://www.linkedin.com/in/stevenponce/
- Twitter: sponce1
- Repositories: 6
- Profile: https://github.com/poncest
Citation (CITATION.md)
# Citation
Please cite this work in your publications if it contributes to your research. The citation format provided below follows a commonly accepted academic standard.
## Recommended Citation
Wells, C., Lovejoy, M., Walega, M., Borrendam, N., Krohn, J., Proeve, J., Spiridon, M.-D., Stullcap, K., & Seider, B. (2024). Assessing the Use of Quality Tolerance Limits in the Pharmaceutical Industry. PHUSE - Risk Based Quality Management Working Group. Available at [PHUSE](https://phuse.s3.eu-central-1.amazonaws.com/Deliverables/Risk+Based+Monitoring/WP-084.pdf)
## BibTeX
```bibtex
@misc{phuse2024qtl,
author = {Wells, Chris and Lovejoy, Mireille and Walega, Michael and Borrendam, Nathalie and Krohn, Jennifer and Proeve, Johann and Spiridon, Madalina-Daniela and Stullcap, Kristin and Seider, Barbara},
title = {Assessing the Use of Quality Tolerance Limits in the Pharmaceutical Industry},
year = {2024},
publisher = {PHUSE - Risk Based Quality Management Working Group},
howpublished = {\url{https://phuse.s3.eu-central-1.amazonaws.com/Deliverables/Risk+Based+Monitoring/WP-084.pdf}}
}