Statistical Inference for Conditional Spatialtemporal Correlation in Brain MRI Data

This project explores statistical inference on the genetic heritability of intermodal coupling derived from multi-modal brain MRI data. It covers the fundamentals of adaptive testing and correlation modeling, and examine methods for accurately controlling the Type I error rate and increasing statistical power by leveraging rich spatial information. The project also involves large-scale simulation studies using parallel computing, as well as real data analyses.

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