Time: 15:00 - 16:30 UK Time Presenters: Dr Joachim Schwarz, PhD Todd Sanger and Richard Pugh
1. 'Looking over the Fence' by Richard Pugh - Click here to view the slides
2. 'The Use of Predictive Modelling in Customer Relationship Management' by Joachim Schwarz - Click here to view the slides
3. 'Moving from R&D to Sales and Marketing: the business analytics experience of a statistician at Lilly' by Todd Sanger - Click here to view the slides
Dr Joachim Schwarz
Abstract Predictive Modelling in the field of Customer Relationship Management
The webinar focusses on one main problem of every customer relationship management department: How to identify those customers, which are more likely to e.g. terminate their customer relationship or to buy a new product? One way to solve this is predictive modelling. We will have a look on typical data a company has about their customers, and how it can be used to develop a model to predict a specific customer behaviour. A special focus will be laid on limitations of this approach and, last but not least, its specific potential to generate or to save money.
About the Presenter
Dr Joachim Schwarz, studied mathematics at the Georg August University in Göttingen and at Trinity College in Dublin. He did his PhD in business administration at the private university of Witten / Herdecke, and afterwards, he has more than nine years working experience as manager and team leader in the analytical CRM department of the Deutsche Telekom, with special focus on data mining and predictive modelling. Since winter term 2013, he is professor for business mathematics and statistics at the FOM university of applied sciences in Bonn.
PhD Todd Sanger
Moving from R&D to Sales and Marketing: the business analytics experience of a statistician at Lilly Typically, pharmaceutical companies invest more money on sales and marketing than they do on R&D, yet very few statisticians work to support sales and marketing organizations. At Lilly, we created a group of statisticians to support analytical problems in Sales and Marketing. This talk will describe the types of issues we encounter and the statistical techniques we use to tackle these issues.
About the Presenter
Research Fellow, Advanced Analytics at Eli Lilly and Company
Looking over the fence: What does Data Science mean outside of life sciences and what can we learn? The last 10 years have seen significant growth in companies investing in Big Data, Data Science, Machine Learning and AI. The key driver for organisations investing in these initiatives is to generate insight from data that can be used to drive better decision making. However, as each industry has different aims and constraints, the adoption of data-driven approaches can vary significantly.
This presentation will look at core concepts of data science, such as the 3 Vs of data, and how different industries have looked to implement these concepts. In particular, we will look at possible opportunities for the pharmaceutical sector to adapt successful approaches from other industries.
About the Presenter
Richard Pugh is Chief Data Scientist and co-Founder of Mango Solutions, a Data Science consulting company specialised in the pharmaceutical industry. Richard studied Mathematics and Statistics at the University of Bath before working as a biostatistician within the life sciences industry. Richard then joined Insightful, working as a Consultant across many industries around the application of statistical methods using the S-PLUS software product. In 2002, Richard co-founded Mango Solutions to focus on the application of analytics to solve business challenges using technologies such as SAS, S-PLUS and R. Richard is heavily involved in the R community, co-authoring the book “R in 24 Hours”, and was the first President of the R Consortium. Richard is an active member of the committee of the RSS Data Science Section. Today, Richard spends much of his time advising clients across a variety of industries on data-driven approaches, and is a regular speaker at analytic conferences.
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 3 sessions in continental Europe and 3 - 4 sessions in the UK. It promises to be a truly memorable course.