Interests

• Multiple Testing
• Selective Inference
• Resampling in large datasets
• Random Field Theory
• Neuroimaging Statistics

About me

I am a Research Fellow at the University of California San Diego working on developing statistical methods with a particular focus on applications in Neuroimaging and Genetics. For more details see my CV. If you're interested in collaborating or have a question about my work please feel free to email me (sdavenport(AT)health.ucsd.edu).

Research Interests

My research focuses on develping methods for analysing spatial data with a particular emphasis on multiple testing via parametric (i.e. Random Field Theory) and re-sampling based methods. Recently this has been a matter of controversy in the neuroimaging community, primarily because parametric methods have been applied widely without proper regard for the underlying assumptions. However it turns out that a number of these assumptions are unnecessary and can be dropped by modifying the theory. My work focuses on developing these and other approaches in order to provide valid control of false positive rates (voxelwise FWER, False discovery proportion etc) and allow for better, more powerful inference.