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<oembed><version>1.0</version><provider_name>BIG-S2</provider_name><provider_url>https://www.med.unc.edu/bigs2</provider_url><author_name>Tengfei Li</author_name><author_url>https://www.med.unc.edu/bigs2/author/tengfei/</author_url><title>MAGEE-SSPM: Multiscale Adaptive Generalized Estimating Equation - Spatial Statistical Parametric Mapping - BIG-S2</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="mvc6ZhYqSo"&gt;&lt;a href="https://www.med.unc.edu/bigs2/bias-sspm/"&gt;MAGEE-SSPM: Multiscale Adaptive Generalized Estimating Equation &#x2013; Spatial Statistical Parametric Mapping&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.med.unc.edu/bigs2/bias-sspm/embed/#?secret=mvc6ZhYqSo" width="600" height="338" title="&#x201C;MAGEE-SSPM: Multiscale Adaptive Generalized Estimating Equation &#x2013; Spatial Statistical Parametric Mapping&#x201D; &#x2014; BIG-S2" data-secret="mvc6ZhYqSo" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Many large-scale longitudinal imaging studies have been or are being widely conducted to better understand the progress of neuropsychiatric and neurodegenerative disorders and normal brain development. The goal of this software is to develop a multiscale adaptive generalized estimation equation (MAGEE) method for spatial and adaptive analysis of neuroimaging data from longitudinal studies. MAGEE is &hellip; Read more</description></oembed>
