Research Mission and Vision
The Methods for INcomplete Data (MIND) Lab advances statistical methods for handling censored, missing, or incomplete data to improve the estimation of neurodegenerative disease progression. We envision clinician-scientists using the methods we develop, built into open-access and reproducible software, to design clinical trials and help patients suffering from these devastating diseases.Contact
Tanya P. Garcia, Ph.D.Director of the MIND Lab
Associate Professor of Biostatistics
Gillings School of Public Health
The University of North Carolina at Chapel Hill
Email: tpgarcia [at] email [dot] unc [dot] edu
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Publication
February 2025: Check out our article "Spiritual well-being and phenoconversion in Huntington disease: Analysis from PHAROS" in the Journal of Palliative Medicine by Leonard Sokol, Marissa Ashner, Danny Bega, Benzi Kluger, Karen Marder and Tanya P. Garcia. Two years of hard work paid off!
Funding
December 2024: Jesus Vazquez wins the
2025 Johns Hopkins University Provost’s Postdoctoral Fellowship! What a major win, Jesus, you are absolutely going places!
Publication
November 2024: Check out our article "Extrapolation before imputation reduces bias when imputing censored covariates" in the Journal of Computational and Graphical Statistics by Sarah Lotspeich and Tanya Garcia. This article went through the wringer and was made better for it. So proud of you Sarah for persisting!
Check out more news here.