Summary
Juliette is a second-year PhD student supervised by Li Su and Shaun Seaman. Her research is primarily focused on causal inference in longitudinal studies, utilising target trial emulation to improve the robustness and reliability of study results. Juliette’s work aims to bridge the gap between theoretical statistical methodologies and practical applications in public health and clinical research.
Research Interests:
- Causal Inference
- Longitudinal Data Analysis
- Target Trial Emulation
- Survival analysis
- Covariate Balance
Education:
- MSci in Mathematics, Imperial College London, 2021
- MPhil in Population Health Sciences (Health Data Science), University of Cambridge, 2022
Publications and presentations
- J M Limozin, S R Seaman, L Su (2024). "Inference procedures in sequential trial emulation with survival outcomes: comparing confidence intervals based on the sandwich variance estimator, bootstrap and jackknife." arXiv:2407.08317
- J M Limozin (2023). "Inference procedures in target trial emulation with survival outcomes: Comparison of confidence intervals based on the sandwich variance estimator and two forms of bootstrap". Presented at European Causal Inference Meeting.
- J M Limozin (2023). "Unravelling Cause and Effect: Exploring Causal Inference and Trial Emulation". Presented at Newnham College Pudding Seminar.
Teaching and Mentoring:
Juliette is actively involved in teaching and mentoring undergraduate and master’s students in Mathematics and Population Health Sciences. She has served as a supervisor or teaching assistant for several courses, including:
- Part IB Statistics
- Part II Statistical Modelling
- Part II Mathematics of Machine Learning
- MPhil Population Health Sciences Health Data Science courses
