PMC:4620161 / 21059-22140 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/4620161","sourcedb":"PMC","sourceid":"4620161","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4620161","text":"As demonstrated in Chen et al. (2014), MVM has a few advantages over its univariate counterpart. When the data are essentially multidimensional like the multiple effect estimates from ESM or ASM, MVM has a crucial role in formulating hypothesis testing. In addition, it characterizes and quantifies the intercorrelations among the variables based on the data rather than a presumed variance-covariance structure as in UVM. Furthermore, MVM in general provides a better control for false positives than UVM. Lastly, the conventional univariate testing (UVT) under GLM can be easily performed under the MVM framework with a few extra advantages. Here we discuss one aspect by which the group analysis of neuroimaging data will benefit from the MVM facility when the HDR profile is estimated from multiple basis functions instead of being presumed to have a fixed shape. Then in the section Simulations and Real Experiment Results, we elaborate and compare a few testing alternatives in terms of power and false positives, using simulations and in terms of performance with real data.","tracks":[{"project":"0_colil","denotations":[{"id":"26578853-24954281-358039","span":{"begin":32,"end":36},"obj":"24954281"}],"attributes":[{"subj":"26578853-24954281-358039","pred":"source","obj":"0_colil"}]},{"project":"TEST0","denotations":[{"id":"26578853-32-40-358039","span":{"begin":32,"end":36},"obj":"[\"24954281\"]"}],"attributes":[{"subj":"26578853-32-40-358039","pred":"source","obj":"TEST0"}]},{"project":"2_test","denotations":[{"id":"26578853-24954281-38285028","span":{"begin":32,"end":36},"obj":"24954281"}],"attributes":[{"subj":"26578853-24954281-38285028","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"0_colil","color":"#93eccd","default":true},{"id":"TEST0","color":"#ecb293"},{"id":"2_test","color":"#9893ec"}]}]}}