Results 41 to 50 of about 2,047,036 (332)

CLUSTER ANALYSIS OF MULTIVARIATE PANEL DATA ON DATA CONTAINING OUTLIERS

open access: yesBarekeng
One clustering method for panel data is K-Means Longitudinal (KML), which considers only a single trajectory per subject over time. To address this limitation, KML was extended into K-Means Longitudinal 3D (KML3D), which enables clustering of joint or ...
Kristuisno Martsuyanto Kapiluka   +2 more
doaj   +1 more source

A co-analysis framework for exploring multivariate scientific data

open access: yesVisual Informatics, 2018
In complex multivariate data sets, different features usually include diverse associations with different variables, and different variables are associated within different regions.
Xiangyang He   +3 more
doaj   +1 more source

Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data

open access: yes, 2015
We propose a novel approach for modeling multivariate longitudinal data in the presence of unobserved heterogeneity for the analysis of the Health and Retirement Study (HRS) data.
Anderlucci, Laura, Viroli, Cinzia
core   +1 more source

What to Do When Medical Evidence Can Only Be Generated Through Routine Data: An Example From Pediatric Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Children undergoing allogeneic stem cell transplantation often receive off‐label rituximab treatment for Epstein–Barr virus reactivation, using adult dosing without pediatric evidence. This project aims to develop a clinical decision support tool (CDSS) that provides evidence‐based dosing scenarios by analyzing real‐world patient data.
Birgit Burkhardt   +2 more
wiley   +1 more source

Metabolic profiling of body fluids and multivariate data analysis

open access: yesMethodsX, 2017
Metabolome analyses of body fluids are challenging due pre-analytical variations, such as pre-processing delay and temperature, and constant dynamical changes of biochemical processes within the samples.
Jean-Pierre Trezzi   +6 more
doaj   +1 more source

Data-driven time-frequency analysis of multivariate data

open access: yes, 2011
Empirical Mode Decomposition (EMD) is a data-driven method for the decomposition and time-frequency analysis of real world nonstationary signals.
Rehman, Naveed Ur, Rehman, Naveed Ur
core   +1 more source

Multivariate Statistical Analysis of Phyllite Samples Based on Chemical (XRF) and Mineralogical Data by XRD [PDF]

open access: yes, 2012
It is presented the results obtained of a multivariate statistical analysis concerning the chemical and phase composition, as a characterization purpose, carried out with 52 rock phyllite samples selected from the provinces of Almería and Granada (SE ...
Garzón Garzón, Eduardo   +2 more
core   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura   +5 more
wiley   +1 more source

Statistical approach by factor and cluster analysis on origin of elements from the Hamit Plutonic (Turkey) rock samples

open access: yesBulletin of the Mineral Research and Exploration, 2019
The Hamit pluton forms part of the Central Anatolian Crystalline Complex. It is located N-NE of Kaman (Kirsehir). It covers an area of about 120 km2. The geochemical contents of 63 rock samples collected from this pluton were analyzed for their origin ...
Fusun YALCIN   +3 more
doaj   +1 more source

Multivariate Analysis under Indeterminacy: An Application to Chemical Content Data

open access: yesJournal of Analytical Methods in Chemistry, 2020
The Hotelling T-squared statistic has been widely used for the testing of differences in means for the multivariate data. The existing statistic under classical statistics is applied when observations in multivariate data are determined, precise, and ...
Muhammad Aslam, Osama H. Arif
doaj   +1 more source

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