15–19 Sept 2024
Leuven, Belgium
Europe/Berlin timezone

Statistical Challenges in Pharmaceutical Industry

18 Sept 2024, 11:30
1h 30m
Conference room 2

Conference room 2

Speakers

Tatsiana Khamiakova (Johnson and Johnson Innovative Medicine) Nicolas Sauwen (Open Analytics NV) Deniz Akinc Abdulhayoglu (Cencora Pharmalex) Bernard Francq (GSK)

Description

There is a common perception that bringing in statistical innovation in the highly regulated industry, such as pharmaceutical companies, is a hard mission. Often, due to legal constraints, the statistical innovation in the nonclinical space is not obvious to the outer world. In our discussion panel we would like to discuss challenges we face as industrial statisticians working in pharmaceutical companies and the main focus would be automation of the statistical analyses and workflows in our practice. Automation can on one hand free up statistical practitioners to focus more on bringing in innovative approaches rather than rerunning routine/repeatable analyses and standard reports, on the other hand, help to provide access to novel tools for data exploration and analysis.

We shall talk what types of analyses does it usually make sense to automate, share the successful automatization story and lessons learned from the automation tools which were more failures. Bayesian framework will also be discussed with its benefits and challenges. The prior information requires a thoughtful cross-disciplinary discussion to empower the analyses. We would also like to bring to a broader audience strategies which make automated tools widely adopted, i.e. via trainings, good agreements and collaborations with stakeholders. In addition, technical aspects of software implementation would be brought up, such as data format requirements, ensuring reproducibility of the analysis etc. Finally, a set-up of highly regulated analyses (i..e Good Manufacturing practices) vs. exploratory ones (in early development) requires specific approach and rigor to ensure the final software or script would be applied for the developed purpose and would be a good return on invested time and resources.

The panel discussion would also contain some example case studies from several companies the panelists represent.

Type of presentation Talk
Classification Both methodology and application
Keywords statistical innovation, pharmaceutical companies, automation, validation, statistical trainings

Primary authors

Tatsiana Khamiakova (Johnson and Johnson Innovative Medicine) Nicolas Sauwen (Open Analytics NV) Deniz Akinc Abdulhayoglu (Cencora Pharmalex) Bernard Francq (GSK)

Presentation materials

There are no materials yet.