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
Be the First to Know our Fun News!
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!
Award
November 2024: Tanya Garcia wins the Roy R. Kuebler Award, an award that supports career-enhancing activities for Assistant and Associate Professors in the Department of Biostatistics.
Check out more news here.