Results 31 to 40 of about 4,193,923 (352)
Frontiers in Neurology, 2017 We present the first quantitative analysis of atypical teratoid rhabdoid tumors (ATRT) in adults, including two patients from our own institutions. These are of interest as one occurred during pregnancy and one is a long-term survivor.
Christopher Dardis +13 more
doaj +1 more source
Data transformation: a focus on the interpretation
Korean 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]
Revista de Saúde PúblicaOBJECTIVE 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
Interpretation of omics data analyses
Journal 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
Nucleic 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
Total Empiricism: Learning from Data [PDF]
arXiv, 2023 Statistical analysis is an important tool to distinguish systematic from chance findings. Current statistical analyses rely on distributional assumptions reflecting the structure of some underlying model, which if not met lead to problems in the analysis and interpretation of the results.
arxiv
Common Pitfalls in the Interpretation of COVID-19 Data and Statistics [PDF]
Intereconomics, 2020 AbstractPolicymakers, experts and the general public heavily rely on the data that are being reported in the context of the coronavirus pandemic. Daily data releases on confirmed COVID-19 cases and deaths provide information on the course of the pandemic.
openaire +5 more sources
On direct sequential analysis of heart rate variability signals [PDF]
Archive 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
Nucleic Acids ResearchWe 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
Making the Most Of Statistical Analyses: Improving Interpretation and Presentation
, 2000 Social Scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are of greatest substantive interest for their research and express the ...
Gary King +2 more
semanticscholar +1 more source