Magdalena Ponce de León | Neuroimaging & Data Science Consultant
Statistical testing, group analysis, and modeling tailored to your study design.
Robust statistical analysis is essential to extract clear, defensible insights from complex imaging data. I offer flexible, expert-driven data analysis services tailored to your study’s design, modality, and clinical or research questions.
From exploratory analyses to confirmatory hypothesis testing, I apply the right statistical models to answer your research questions accurately and transparently. Methods include classical tests (t-tests, ANOVA, chi-square), non-parametric tests, and Bayesian approaches.
Whether you have cross-sectional, longitudinal, or mixed designs, I build and implement models that handle inter-subject variability, repeated measures, and complex experimental setups. I provide clear reports and visualizations to make sense of group-level effects.
Go beyond basic statistics: I offer regression modeling, voxel-based analyses, kinetic modeling for PET, machine learning pipelines, and multivariate techniques (e.g., PCA, PLS). All analyses are documented, reproducible, and adapted to your research aims.
I understand each study is unique. I design custom scripts and pipelines in R, Python, MATLAB, or your preferred tool, ensuring reproducibility and clear audit trails. All outputs come with interpretable summaries and high-quality figures ready for publication.
Feel free to reach out via email or connect with me on LinkedIn: