Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models Jorge
نویسندگان
چکیده
Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models Jorge L. Bernal-Rusiel, Douglas N. Greve, Martin Reuter , Bruce Fischl, and Mert R. Sabuncu; for the Alzheimer’s Disease Neuroimaging Initiative* 1 Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School/Massachusetts General Hospital, Charlestown, MA Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 3 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
منابع مشابه
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models
Longitudinal neuroimaging (LNI) studies are rapidly becoming more prevalent and growing in size. Today, no standardized computational tools exist for the analysis of LNI data and widely used methods are sub-optimal for the types of data encountered in real-life studies. Linear Mixed Effects (LME) modeling, a mature approach well known in the statistics community, offers a powerful and versatile...
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