The last 15 years has seen a massive shift in the role of data and analytics, driven by the increased hype around big data, data science, machine learning and AI. This presents both challenges and opportunities for analytic teams. This webinar will strip back the hype to look at what these buzzwords really mean, and talk about the impact this is having on the role, remit and operating model of analytic teams in the life sciences industry.
Date: Tuesday 14th January 2020
Time: 14:00 - 15:00 GMT
Speaker: Richard Pugh (Mango Solutions)
Registration: To register for this free event, please click here.
Richard Pugh is Mango’s Chief Data Scientist, and has over 20 years’ experience of helping organisations add value with data and advanced analytics. As co-founder of Mango, Richard has led a wide range of ground-breaking data science projects for some of the most forward thinking companies in the world.
During his two decades in the industry, Richard has become a leader in the Data Science field. He started out with a BSc in Mathematics and Statistics from Bath University, which led to work as a consultant in the pharmaceutical sector. In 2002 he co-founded Mango, which allowed him to make his vision of proactive, data driven business culture a reality. In his day-to-day role, Richard spends much of his time advising clients from a variety of industries on data-driven strategies, while keeping up-to-date with the cutting edge commercial applications of data science.
Richard is incredibly passionate about supporting the R and Data Science communities. He co-authored the book “R in 24 Hours”, was the first president of the R Consortium, sits on the RSS Data Science Section Committee and regularly speaks at events. Richard uses his experience to help companies make better decisions through data, and remove any perceived constraints on the limits of data science, sharing that it can inform and transform all aspects of a business.
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 firstname.lastname@example.org 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.