Results 31 to 40 of about 4,030,414 (327)

Data transformation: a focus on the interpretation

open access: yesKorean Journal of Anesthesiology, 2020
Several assumptions such as normality, linear relationship, and homoscedasticity are frequently required in parametric statistical analysis methods. Data collected from the clinical situation or experiments often violate these assumptions.
Dong Kyu Lee
semanticscholar   +1 more source

Is the Bland-Altman plot method useful without inferences for accuracy, precision, and agreement? [PDF]

open access: yesRevista de Saúde Pública
OBJECTIVE This study aims to propose a comprehensive alternative to the Bland-Altman plot method, addressing its limitations and providing a statistical framework for evaluating the equivalences of measurement techniques.
Paulo Sergio Panse Silveira   +2 more
doaj   +1 more source

APSS - Software support for decision making in statistical process control [PDF]

open access: yes, 2018
DOI nefunkční (7.1.2019)Purpose: SPC can be defined as the problem solving process incorporating many separate decisions including selection of the control chart based on the verification of the data presumptions.
Noskievičová, Darja
core   +1 more source

MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data

open access: yesNucleic Acids Res., 2017
The widespread application of next-generation sequencing technologies has revolutionized microbiome research by enabling high-throughput profiling of the genetic contents of microbial communities.
A. Dhariwal   +5 more
semanticscholar   +1 more source

Interpretation of omics data analyses

open access: yesJournal of Human Genetics, 2020
Omics studies attempt to extract meaningful messages from large-scale and high-dimensional data sets by treating the data sets as a whole. The concept of treating data sets as a whole is important in every step of the data-handling procedures: the pre ...
Ryo Yamada   +4 more
semanticscholar   +1 more source

PCAtest: testing the statistical significance of Principal Component Analysis in R

open access: yesPeerJ, 2022
Principal Component Analysis (PCA) is one of the most broadly used statistical methods for the ordination and dimensionality-reduction of multivariate datasets across many scientific disciplines.
Arley Camargo
semanticscholar   +1 more source

Interconnect fatigue design for terrestrial photovoltaic modules [PDF]

open access: yes, 1982
The results of comprehensive investigation of interconnect fatigue that has led to the definition of useful reliability-design and life-prediction algorithms are presented.
Mon, G. R.   +2 more
core   +2 more sources

MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation

open access: yesNucleic Acids Research
We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and interpreting data from targeted as well as untargeted metabolomics studies using liquid chromatography - mass spectrometry (LC–MS).
Zhiqiang Pang   +10 more
semanticscholar   +1 more source

The UCSC Xena platform for public and private cancer genomics data visualization and interpretation

open access: yesbioRxiv, 2018
UCSC Xena is a visual exploration resource for both public and private omics data, supported through the web-based Xena Browser and multiple turn-key Xena Hubs. This unique archecture allows researchers to view their own data securely, using private Xena
M. Goldman   +11 more
semanticscholar   +1 more source

On direct sequential analysis of heart rate variability signals [PDF]

open access: yesArchive of Oncology, 2005
Heart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system.
Bajić Dragana   +2 more
doaj   +1 more source

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