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.
Dr. Alexander Schacht
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.
Taking the pain out of subgroup analyses
Dr. Alexander Schacht
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.
