Articles with "statistical analyses" as a keyword



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Incorrect Data Used in Statistical Analyses.

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Published in 2017 at "JAMA neurology"

DOI: 10.1001/jamaneurol.2016.6106

Abstract: Incorrect Data Used in Statistical Analyses To the Editor On behalf of our coauthors, we write to explain errors that occurred in our article, “Association of Environmental Toxins With Amyotrophic Lateral Sclerosis,” which was published… read more here.

Keywords: neurology; statistical analyses; plasma; article ... See more keywords
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MOSAIC: a web-interface for statistical analyses in ecotoxicology

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Published in 2017 at "Environmental Science and Pollution Research"

DOI: 10.1007/s11356-017-9809-4

Abstract: In ecotoxicology, bioassays are standardly conducted in order to measure acute or chronic effects of potentially toxic substances on reproduction, growth, and/or survival of living animals. MOSAIC, standing for MOdeling and StAtistical tools for ecotoxICology,… read more here.

Keywords: statistical analyses; mosaic web; web interface; interface statistical ... See more keywords
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A global database and statistical analyses of (4) Vesta craters

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Published in 2018 at "Icarus"

DOI: 10.1016/j.icarus.2018.04.006

Abstract: Abstract In this paper, we present a global database of craters larger than 0.7 km in diameter on the surface of (4) Vesta, which we created based on a global mosaic of the Dawn spacecraft's high-altitude… read more here.

Keywords: statistical analyses; global database; surface; database statistical ... See more keywords
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Computational and statistical analyses for robust non-convex sparse regularized regression problem

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Published in 2019 at "Journal of Statistical Planning and Inference"

DOI: 10.1016/j.jspi.2018.11.001

Abstract: Abstract A robust and sparse estimation technique for linear regression problem is studied in this paper. Standard regression with Lasso, SCAD and MCP regularizations is not robust against outliers since it involves the least squares.… read more here.

Keywords: regression; sparse; statistical analyses; regression problem ... See more keywords
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MSstatsShiny: A GUI for Versatile, Scalable, and Reproducible Statistical Analyses of Quantitative Proteomic Experiments.

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Published in 2023 at "Journal of proteome research"

DOI: 10.1021/acs.jproteome.2c00603

Abstract: Liquid chromatography coupled with bottom-up mass spectrometry (LC-MS/MS)-based proteomics is a versatile technology for identifying and quantifying proteins in complex biological mixtures. Postidentification, analysis of changes in protein abundances between conditions requires increasingly complex and… read more here.

Keywords: scalable reproducible; gui versatile; msstatsshiny gui; versatile scalable ... See more keywords
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MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at Scale.

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Published in 2023 at "Journal of proteome research"

DOI: 10.1021/acs.jproteome.2c00834

Abstract: The MSstats R-Bioconductor family of packages is widely used for statistical analyses of quantitative bottom-up mass spectrometry-based proteomic experiments to detect differentially abundant proteins. It is applicable to a variety of experimental designs and data… read more here.

Keywords: mass spectrometry; based proteomic; statistical analyses; proteomic experiments ... See more keywords
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Statistical analyses for studying replication: Meta-analytic perspectives.

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Published in 2018 at "Psychological methods"

DOI: 10.1037/met0000189

Abstract: Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. These assessments have used different statistical approaches to determine if a finding has been replicated. The purpose of… read more here.

Keywords: statistical analyses; meta analytic; replication meta; analyses studying ... See more keywords
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Quantitative Validation of Control Bands Using Bayesian Statistical Analyses.

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Published in 2020 at "Annals of work exposures and health"

DOI: 10.1093/annweh/wxaa081

Abstract: This study presents a quantitative validation of 15 Similar Exposure Groups (SEGs) that were derived via control bands inherent to the Risk Level Based Management System currently being used at the Lawrence Livermore National Laboratory.… read more here.

Keywords: statistical analyses; validation control; quantitative validation; control ... See more keywords
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EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics

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Published in 2020 at "International Journal of Epidemiology"

DOI: 10.1093/ije/dyz244

Abstract: Abstract Motivation An intuitive graphical interface that allows statistical analyses and visualizations of extensive data without any knowledge of dedicated statistical software or programming. Implementation EpiMetal is a single-page web application written in JavaScript, to… read more here.

Keywords: source; statistical analyses; epidemiology; web browser ... See more keywords
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Comparing statistical analyses to estimate thresholds in ecotoxicology

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Published in 2020 at "PLoS ONE"

DOI: 10.1371/journal.pone.0231149

Abstract: Different methods are used in ecotoxicology to estimate thresholds in survival data. This paper uses Monte Carlo simulations to evaluate the accuracy of three methods (maximum likelihood (MLE) and Markov Chain Monte Carlo estimates (Bayesian)… read more here.

Keywords: statistical analyses; thresholds ecotoxicology; estimate thresholds; analyses estimate ... See more keywords
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Metadynamics simulations leveraged by statistical analyses and artificial intelligence-based tools to inform the discovery of G protein-coupled receptor ligands

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Published in 2022 at "Frontiers in Endocrinology"

DOI: 10.3389/fendo.2022.1099715

Abstract: G Protein-Coupled Receptors (GPCRs) are a large family of membrane proteins with pluridimensional signaling profiles. They undergo ligand-specific conformational changes, which in turn lead to the differential activation of intracellular signaling proteins and the consequent… read more here.

Keywords: intelligence based; metadynamics simulations; statistical analyses; artificial intelligence ... See more keywords