Why do you think many of these “subgroup” projects are a headache for statisticians?
Have you felt frustrated about such projects yourself?
What are the steps to avoid or at least minimize these frustrations?
Do you have the same questions in mind? These are some of the questions Necdet will be answering and sharing with us.
This episode is based on a presentation at PSI 2019. Necdet won The Effective Statistician Best Presenter award for the amazing delivery of the presentation. But not only the delivery was excellent – the content will help you a lot. Here’s the abstract for the conference.
Abstract: Practical aspects of subgroup detection
Recent years have seen the emergence of new methods for detecting subgroups with enhanced treatment effects and statisticians are now faced with an overwhelming choice of approaches to consider. Confusion around the potential advantages and disadvantages of different methods can often result in the implementation of an approach that is not appropriate for a particular research question.
This talk will provide a practical guide to the design and conduct of subgroup detection analyses, providing points to consider for
selecting an appropriate method based on the research objective, the context of the analysis, the outcomes, and the covariates
under consideration. Two example case studies will be presented to illustrate the discussed considerations.
Necdet and I will also discuss the following:
- Do you have practical examples based on a given data set that leads to very different approaches?
- As a PSI awardee for best presentation in this year’s conference, How do you approach presentations?
- What’s your key recommendation for giving a great presentation?
Never miss an episode!
Join thousends of your peers and subscribe to get our latest updates by email!
Get the
Learn on demand
Click on the button to see our Teachble Inc. cources.
Featured courses
Click on the button to see our Teachble Inc. cources.
Necdet Gunsoy (PhD)
GSK Director
Necdet is a Director in Analytics and Innovation focusing on health economics and outcomes research at GSK. In this role, Necdet leads the development of tools, solutions, and capabilities to support the generation of evidence using real-world and clinical trial data and advanced analytics. His current research interests include subgroup analysis, preference elicitation, evidence synthesis, prediction
modeling, and decision-making. Necdet graduated with a PhD in Medical Statistics from the Institute of Cancer Research and worked in academic research before joining the GSK clinical statistics team in 2013. He also holds a Masters in Public Health from Imperial College London and a Bachelors in Biomedical Sciences from the University of Mons, Belgium.
Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
