Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease
نویسندگان
چکیده
منابع مشابه
Univariate and Multivariate Merit Factors
Merit factor of a binary sequence is reviewed, and constructions are described that appear to satisfy an asymptotic merit factor of 6.3421 . . .Multivariate merit factor is characterised and recursive Boolean constructions are presented which satisfy a non-vanishing asymptote in multivariate merit factor. Clifford merit factor is characterised as a generalisation of multivariate merit factor an...
متن کاملUnivariate and multivariate Pareto models
The Pareto distribution has long been recognized as a suitable model for many non-negative socio-economic variables. Univariate and multivariate variations abound. Some unification is possible by representing the Pareto variables in terms of independent gamma distributed components. Further unification is sometimes possible since some of the frequently used multivariate Pareto models share the ...
متن کاملApplications of multivariate modeling to neuroimaging group analysis: A comprehensive alternative to univariate general linear model
All neuroimaging packages can handle group analysis with t-tests or general linear modeling (GLM). However, they are quite hamstrung when there are multiple within-subject factors or when quantitative covariates are involved in the presence of a within-subject factor. In addition, sphericity is typically assumed for the variance-covariance structure when there are more than two levels in a with...
متن کاملLongitudinal neuroimaging biomarkers in Huntington's Disease.
Identifying markers able to characterise the progression of Huntington's Disease (HD) is of great importance to the HD research community, as such markers may provide valuable outcome measures in future clinical trials. Neuroimaging measures are obvious candidates because of their clear relevance to the neuropathology of the disease. Many also show improved precision and sensitivity compared wi...
متن کاملUnivariate and Multivariate Surveillance of Outbreaks
In many areas there is a need to monitor observations in order to detect changes in the underlying processes as quickly as possible. The theory of statistical surveillance provides the possibility of making optimal decisions about whether a change has occurred or not based on the data available at the time of the decision. Surveillance can be used in many different situations. It is important t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: NeuroImage
سال: 2008
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2008.01.056