Research afternoon on Spatial Statistics in Medical Applications

The event will showcase

(i) statistical methods for spatial data, and

(ii) biomedical questions deserving of analysis using such methods.

Our aim overall is to stimulate discussion and interaction between statisticians and biomedical scientists that will then draw the two fields closer together and potentially catalyse new collaborations. After an introduction, there will be 10 presentations (5 mins plus 10 mins Q&A) alternating between “statistical methods” and “biomedical applications”.

The event is free and open to all, but registration is required for catering purposes -- please register via the link below indicating any relevant dietary requirements.

Registration is now full -- please contact us via email if you would like to attend, and we will try to accommodate you. 

Tentative Schedule

12.00noon - 12.45pm Lunch and coffee

12.45pm - 1.05pm Nicole Augustin 

Introduction: Statistical Challenges when modelling spatial data -  model selection in the presence of spatial confounding and a very large number of correlated predictors with non-linear effects.

1.05pm - 1.20pm Finn Lindgren

Methods: Spatial and hierarchical modelling with INLA/inlabru

1.20pm - 1:35pm Kylie Matchett

Applications: Single cell and spatial technologies decode human liver regeneration

1.35pm - 1.50pm Linus Schumacher/Giuseppe Torrisi/Luciana Luque

Methods: Cell type identification and neighbourhood analysis in imaging mass cytometry data 

1.50pm - 2.05pm Linus Schumacher/Giuseppe Torrisi/Luciana Luque

Applications: Prediction of chemotherapy response in triple negative breast cancer

2.05pm - 2.20pm Simon Wood

Methods: Neighbourhood cross validation for regression models of spatial data 

2.20pm - 2.35pm SHORT BREAK

2.35pm - 2.50pm Ruth Andrew 

Applications: MS imaging data and the challenges data handling

2.50pm - 3.05pm Sjoerd Beentjes

Methods: A quick review of statistical and ML methods for spatial transcriptomics data

3.05pm - 3.20pm Anna Williams

Applications: Focal brain diseases (such as multiple sclerosis and cerebral small vessel disease) need focal techniques!

3.20pm - 3.35pm Cecilia Balocchi

Methods: Spatial partitions for areal data

3.35pm - 3.50pm Stefan Veizades

Applications: Spatial transcriptomic profiling of human disease states: considerations and challenges to enable statistical testing

3.50pm - 4pm Wrap-up

Organised by Chris Ponting, Natalia Bochkina and Tim Cannings.