This webinar aims to take a practical approach to some of the trials and errors seen in Clinical Trials. The webinar will go through some real life examples of where trials and statistical analyses may not have gone as expected! As well as covering some of the errors often seen by the MHRA whilst reviewing submissions
This webinar aims to take a practical approach to some of the trials and errors seen in Clinical Trials. The webinar will go through some real life examples of where trials and statistical analyses may not have gone as expected! As well as covering some of the errors often seen by the MHRA whilst reviewing submissions.
Trials and Errors in Submissions: A Regulatory Perspective
Yolanda Barbachano (MHRA)
Working in a regulatory agency means seeing dossiers from a variety of companies and disease areas. There are some statistical issues that keep appearing again and again, such as the choice of analysis population, whilst other problems are more unusual but often more important. This talk will describe some of the statistical issues regulators come across when assessing dossiers for marketing authorisation applications and how some of these problems could be avoided. Topics covered will include the choice of analysis populations, missing data, sensitivity analyses and the use of long term extension studies to establish efficacy.
An example of Issues with Multiplicity Adjustments
Sophie Dimonaco (Roche)
There are many well-documented methods to control for multiplicity in clinical trials, all with their own set of pros and cons. This presentation will go through a real life example of a Phase III trial investigating three active treatment arms versus a control, where the chosen multiplicity method was Hierarchical Testing, with a chain of >40 endpoints. The aim of the presentation is to explain the rationale of why this multiplicity methodology was chosen, what happened when the chain broke early and the many discussions within the team post database lock about whether we had used the right adjustment method and what that meant for data with very important clinical significance that was statistically significant after the chain break.
Submission Challenges: A real life example (Working Title)
David Lawrence (Novarits)
David will be speaking regarding his experience of a recent phase 2/3 adaptive design trial which received a licence in the EU but not from the FDA. (Further details TBC)
Registration fee: None
This webinar is free of charge. However, attendees must register on the PSI website in order to obtain the dial-in details and the webinar link.
We do encourage your participation. If you have questions relating to the Trials & Errors in Clinical Trials webinar, or any of the listed talks, ahead of the webinar, please email them to Lucy.firstname.lastname@example.org and Chris.Saville@iconplc.com
We will do our best to discuss them at the webinar.
- See more at: http://www.psiweb.org/events/past-events/2014/trials-and-errors-in-clinical-trials#sthash.rFHr9q9j.dpuf
PSI New Starters Half-Day Networking Event
An opportunity to meet statisticians from across the pharmaceutical industry in a relaxed and informal setting. An exciting program of events and a chance to work in small groups on a data analysis challenge. Lunch provided.
A Non-PSI Event - Protecting confidentiality and privacy in clinical trial and medical data sets
We are increasingly living in a data driven world. Data are collected in many different ways for a variety of purposes. As such, concerns around protecting the privacy of individuals have increased in recent times.
A PSI Training Course - Practical Approaches to Designing Adaptive Clinical Trials
This hands-on course will provide a deep dive into 4 software packages used to design adaptive clinical trials.
The course will start by providing a general overview of adaptive designs, explaining the different type of adaptations possible and the benefits of each design. Following this, participants will be given the opportunity to have a go at designing trials in R (using RPACTS), EAST, FACTS, and nQuery.
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.
This webinar will address operational issues of paramount importance within the healthcare industry with a view to using statistics for the benefit of patients. In attending this webinar, you'll hear more about work being conducted to address some operational issues we face in the health care industrys e.g. patient rectuitment, drug supply and meeting NHS 18 week targets.
PSI Toxicology SIG workshop – 16th and 17th March 2020
The Toxicology SIG provides a forum for statisticians working in regulatory/investigative toxicology, as well as most other pre-clinical areas, to discuss issues and interact with one another.
This 1.5-day workshop will involve approximately 20 statisticians, focusing on discussions around “best practice” in the statistical analysis of various data types.
The afternoon of Day 1 will include a 4.5 hour Bayesian training course focused towards applications in toxicology/pre-clinical, provided by Prof. Dr. Katja Ickstadt and is included in the workshop fee.
The cost will be £270 including VAT per delegate, inclusive of food and one night’s accommodation (and the training course). The workshop is being held at the Crowne Plaza Hotel, Heathrow.
The agenda and topics that will be discussed are yet to be finalised, but please get in touch with email@example.com if you have suggestions. Full details will be circulated in the coming weeks.
This course is aimed at Statisticians and Programmers experienced in SAS, but little or no experience with R.
An Introduction to R studio and the R language, statistical graphics, programming statistical models, simulations and more…
Non-proportional hazards and applications in immuno-oncology
Designs of clinical trials with time to event primary endpoints usually rely on hazards being constant over time. A major challenge in immuno-oncology is the delayed onset of benefit with such therapies and the presence of non-proportional hazards. The impact of this needs to be accounted for in sample size calculations, analysis methodology and reporting. At this meeting, we will examine possible strategies to handle such features, which may not be fully known when the trial is initiated.
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.