Quantitative methods to support decision-making in clinical drug development already exist, but may be unknown or unused by pharmaceutical companies.
Date: 3 December 2019
Time: 14:00 - 15:30
Speakers: PSI/EFSPI SIG Quantitative Decision-Making members:
Véronique Robert (Servier)
Guido Thömmes (Grunenthal)
Oliver Sailer (Boehringer-Ingelheim)
We performed a survey among pharmaceutical companies, targeting people with different profiles (statisticians, non-statisticians and decision-makers) working at different stages of the clinical development (study level, development level or portfolio level). This survey allowed us to analyze which quantitative methods are known, which quantitative methods are used (or not), what benefit is expected from this kind of methods, and what are the needs for a larger use of quantitative methods to support decision-making. It permitted to understand the gaps and some of the issues associated to the use of such methods in drug development. The webinars are intended to share the learnings from the survey and to promote different quantitative methods for decision-making.
Registration: to register for this free event please click here.
PSI Scientific Committee Webinar - Longitudinal modelling: Time to take the next step?
Longitudinal data, i.e. data that arises from repeated observations of the variable over a period of time, has long been put forward as one way to improve to the efficiency of drug development. However, even though there is a rich statistical methodology for longitudinal data, there is no full, wholehearted uptake of these methods in pharmaceutical statistics..
PSI Webinar - Main statistical approaches for quantitative decision-making in drug development
We performed a survey among pharmaceutical companies, targeting people with different profiles (statisticians, non-statisticians and decision-makers) working at different stages of the clinical development (study level, development level or portfolio level).
PSI Training Course - Bayesian Practical Course using R and SAS
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
The ITIT course will take 25 delegates new to the industry on a complete drug development experience from discovery to marketing. They will visit 6 companies from October 2020 to July 2021 to learn about 6 topics from experts in their field. The ITIT course will have 6 sessions in continental Europe and 3 - 4 sessions in the UK. It promises to be a truly memorable course.
Are you interested in bringing your established consulting and statistical analysis skills to a thriving independent company? If so, BresMed is offering an exciting opportunity to join our Statistics team.
Are you interested in working in a cutting-edge industry, where you can develop globally valued skills and apply your maths and statistics knowledge to improving healthcare? If so, BresMed is offering an exciting opportunity to join our Statistics team.