Results 101 to 110 of about 621,525 (301)
Multivariate Analysis of Nonparametric Estimates of Large Correlation Matrices
, 2014 26 ...
Mitra, Ritwik, Zhang, Cun-Hui
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Estimation of the Number of “True” Null Hypotheses in Multivariate Analysis of Neuroimaging Data
NeuroImage, 2001 The repeated testing of a null univariate hypothesis in each of many sites (either regions of interest or voxels) is a common approach to the statistical analysis of brain functional images. Procedures, such as the Bonferroni, are available to maintain the Type I error of the set of tests at a specified level.
Turkheimer, F E, Smith, C B, Schmidt, K
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Inhomogeneous Dependency Modelling with Time Varying Copulae [PDF]
Measuring dependence in a multivariate time series is tantamount to modelling its dynamic structure in space and time. In the context of a multivariate normally distributed time series, the evolution of the covariance (or correlation) matrix over time ...
Ekaterina Ignatieva +3 more
core
ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data [PDF]
, 2013 There are many different ways in which change point analysis can be performed, from purely parametric methods to those that are distribution free. The ecp package is designed to perform multiple change point analysis while making as few assumptions as ...
James, Nicholas A., Matteson, David S.
core
Arthritis Care &Research, EarlyView.Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh +5 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective This research article aims to describe the prevalence, associations, and health‐related quality of life (HRQoL) impact of mucocutaneous features of systemic lupus erythematosus (SLE). Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analyzed (2013–2021).
Amanda M. Saracino +42 more
wiley +1 more source
Dealing with the Outlier Problem in Multivariate Linear Regression Analysis Using the Hampel Filter
Kurdistan Journal of Applied ResearchOutliers in multivariate linear regression models can significantly distort parameter estimates, leading to biased results and reduced predictive accuracy.
Amira Wali Omer, Taha Hussein Ali
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Computing the Partial Correlation of ICA Models for Non-Gaussian Graph Signal Processing
Entropy, 2018 Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian case, in particular to independent component analysis (ICA) models of the observed multivariate samples. Thus, the usual methods that define the pairwise connections of
Jordi Belda +3 more
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Break detection in the covariance structure of multivariate time series models
, 2008 In this paper, we introduce an asymptotic test procedure to assess the stability of volatilities and cross-volatilites of linear and nonlinear multivariate time series models.
Aue, Alexander +3 more
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Arthritis Care &Research, EarlyView.Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin +14 more
wiley +1 more source