[PDF] Top 20 Multivariate Analysis Applied to Clinical Analysis Data
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Multivariate Analysis Applied to Clinical Analysis Data
... According to Andrès et ...age. To find statistical evidence of this phenomenon the population was separated into four age ...0 to 29 years old, the second from 30 to 59 years old, the third ... See full document
85
Surface electromyographic biofeedback for behavioral dysphonia in adult people: a systematic review
... Purpose: To review systematically the literature and to analyze the effectiveness of surface electromyographic biofeedback in the rehabilitation of adults with behavioral ...databases: Clinical ... See full document
10
Normal vector analysis from GNSS-GPS data applied to Deception volcano surface deformation
... up to those based on Global Navigation Satellite Systems (GNSS), in particular the most widely used and known Global Positioning System (GPS), profiting from the automated data processing, positioning ... See full document
9
Phenotypic and molecular characterization of apple (Malus ×
... the multivariate statisti- cal analysis of a large number of variables (Ganopoulos et ...transformed to a decreased number of uncor- related ones in order to reduce the data, allowing ... See full document
10
Rev. bras. farmacogn. vol.20 número1
... coupled to gas chromatography/mass spectrometry (Py-GC/MS) to evaluate the identity and reproducibility of different brands and batches of commercially available samples of Cymbopogon citratus Stapf (sold ... See full document
7
Multivariate Analysis of Soil Heavy Metals Pollution Along Irbid – Zarqa Highway
... addition to correlation analysis, Factor Analysis (FA) of the studied road deposited sediment samples was performed in order to get an overall impression about assembling the samples in a ... See full document
7
Análise multivariada de dados geoquímicos aplicada à exploração mineral de ouro : estudo de caso no distrito aurífero de Almas, TO, Brasil
... cluster analysis was able to correctly distinguish mafic/ultramafic from non-mafic/ultramafic influenced ...cluster analysis of a sub-dataset composed only of non-mafic/ultramafic samples provided ... See full document
63
Journal of Multivariate Analysis
... [3] to bound the resampling risk using their same restrictive class of p-value ...and applied the algorithm of [4] to obtain valid ...able to obtain arbitrarily low bounds to the ... See full document
17
DIAGNOSTIC TECHNIQUES APPLIED IN GEOSTATISTICS FOR AGRICULTURAL DATA ANALYSIS
... Therefore, to obtain trustworthy predictions that represent the real local variability by the interpolation produces, the modeling process must be very carefully carried out, mainly in the case of discrepant or ... See full document
10
Big data analytics: a predictive analysis applied to cybersecurity in a financial organization
... used to handle the data imbalance, where the guidance of the dissertation’s advisor and investigation work helped to define a fit approach for the use ...Big Data and SIEM in the same ... See full document
125
Factor analysis applied to the G+GE matrix via REML/BLUP for multi-environment data
... proposed to understand it. The aim of this study was to carry out factor analysis in data from multi-environment experiments by the mixed model approach ...added to the effects of the ... See full document
6
Prod. vol.17 número3
... the data consist of times series for each of a number of ...refer to the specifi ed shape of the out-of-control shift of univariate time series data as a “profi le”, but this does not qualify under ... See full document
6
MULTIVARIATE ANALYSIS APPLIED TO THE STUDY OF THE RELATIONSHIP BETWEEN SOIL AND PLANT PROPERTIES IN A PEACH ORCHARD
... due to its high profitability in small areas, and it is present in many of the family farm properties of this ...According to Herter et al. (2003), this is due to the fact that the region has ... See full document
10
Data mining applied to neurorehabilitation data
... instrument to extract information from the data, has been widely used since mid-1990 and surged as a solution for the urgent need to manage the great amounts of existing ...tools to mine ... See full document
81
J. Coloproctol. (Rio J.) vol.33 número4
... added to complications 30 days after the ...and multivariate analysis comparing clinical and tumor variables of patients submitted to anterior low rectal anterior resection that closed ... See full document
7
MULTIVARIATE STATISTICAL ANALYSIS TO SUPPORT THE MINIMUM STREAMFLOW REGIONALIZATION
... Clustering multivariate statistical analysis is a data exploratory tool that aims to classify homogeneous groups (WILKS, ...cluster analysis is a technique often used to define ... See full document
14
Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review.
... techniques to map vector species distribution and disease risk has evolved considerably during the past two ...[8,9]) to complex techniques that link satellite-derived seasonal environmental variables ... See full document
11
Developmental norms for eight instruments used in the neuropsychological assessment of children: studies in Brazil
... of Clinical and Experimental Neuropsychology, 13: ...our data to the available counterparts in the United States revealed that American children outperformed Brazilian chil- dren on the Right-Left ... See full document
14
Rev. CEFAC vol.15 número4
... Purpose: to estimate the quality of life and associated factors in a sample of patients with laryngeal tumor, in Southeastern ...Neck, data were collected and submitted to bivariate and ... See full document
9
COSIMA data analysis using multivariate techniques
... is to construct maps of some laboratory spectra based on multivariate statistical ...component analysis are applied directly to peak lists derived from full mass ...shown to ... See full document
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