Title
Proton Beam Therapy Treatment Planning
Abstract
[Insert a 200 to 300 word English abstract describing the research question, methods, data, and key findings. Aim for a non-specialist reader: a recruiter or hiring manager should be able to follow the gist without a statistics background.]
Methods
Key methods used: [for example, regression analysis, Bayesian inference, simulation, machine learning]. Implementation in [R / Python] with full code and reproducible workflow.
Supervisor
Dr. Tristan Pryer, University of Bath
Title
[Spanish title]
[English translation of the title]
Abstract
[Insert a 200 to 300 word English abstract. Frame the work for a UK or international research audience: explain what compositional data analysis is in one sentence, describe the dataset (causes of death in Mexico), summarise the methodological contribution, and note what the findings reveal. Highlight transferability of the methods to other domains such as microbiome data, time-use studies, or any setting where data sums to a constant.Compositional data analysis is genuinely useful in microbiome research, drug formulation, and several areas of epidemiology]
Methods
Compositional data analysis applied to mortality data, with implementation in R. Methods drew on the Aitchison framework for analysing data constrained to a simplex.
English-language presentation
Presented in English at the University of Edinburgh Statistical Research Skills course in 2025. The slides below give an accessible overview of the research and findings for an English-speaking audience.
