Project Code
PHS27Br Millard
Project Type
Dry lab
Research Theme
Population Health Science
Project Summary Download
Summary
Many symptoms, behaviours and adverse outcomes vary across the menstrual cycle, but to-date high-quality data to comprehensively characterise and understand these patterns has been lacking. CycleTrack is a ground-breaking research study that is currently collecting highquality data across menstrual cycles. However, these data are complex to analyse, with multiple time-series and challenges such as missing data and sample heterogeneity. This project seeks to assess potential bias in analyses using these data and explore methods to mitigate these biases. You will advance your skills in data science, statistics, epidemiology and digital health, all highly valued by the FemTech industry and beyond.
Can the project be completed part time?
Yes
Lead Supervisor
Dr Louise Millard
Lead Supervisor Email
University Affiliation
University of Bristol
