Mejia AF, Nebel MB, Wang Y, Caffo BS, Guo Y. Template ICA: Targeted and reliable estimation of subject-level brain networks using big data population priors. Journal of the American Statistical Association (2019).
Mejia AF, Nebel MB, Barber AD, Choe AS, Pekar JJ, Caffo B and Lindquist MA. Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. NeuroImage 172 (2018): 478-491.
Pomann GM, Staicu AM, Lobaton E, Mejia AF, Dewey B, Reich DS, Sweeney E and Shinohara R. A lag functional linear model for prediction of magnetization transfer ratio in multiple sclerosis lesions. Annals of Applied Statistics 10.4 (2016): 2325-2348.
Mejia AF, Sweeney EM, Dewey B, Nair G, Sati P, Shea C, Reich D and Shinohara RT. Statistical estimation of T1 relaxation time using conventional magnetic resonance imaging. NeuroImage 113 (2016): 176-188.
Paik J, Wigley FM, Mejia AF, Hummers LK. Independent Association of Severity of Muscle Weakness with Disability as Measured by the Health Assessment Questionnaire Disability Index in Scleroderma. Arthritis Care and Research 68.11 (2016): 1695–1703.
Mejia AF, Nebel MB, Shou H, Crainiceanu CM, Pekar JJ, Mostofsky SH, Caffo B and Lindquist MA. Improving reliability of subject-level resting-state fMRI parcellations with shrinkage. NeuroImage 112 (2015): 14-29.
Shou H, Eloyan A, Nebel MB, Mejia AF, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA and Crainiceanu, CM. Shrinkage prediction of seed-voxel brain connectivity using resting-state fMRI. NeuroImage (2014).
Ament K, Mejia A, Buhlman R, Erklin S, Caffo B, Mostofsky S, & Wodka E. Evidence for specificity of motor impairments in catching and balance in children with autism. Journal of Autism and Developmental Disorders (2014): 1-10.