Taking the pain out of subgroup analyses

Interview with Necdet Gunsoy

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 which 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 of best presentation in this year's conference, How do you approach presentations?
• What’s your key recommendation for giving a great presentation?