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Visual Analytics of Missing Data in Epidemiological Cohort Studies
[article]
2017
Eurographics Workshop on Visual Computing for Biomedicine
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Our solution is based on general approaches to handle missing values, but is fine-tuned to the problems in epidemiological cohort study data. ...
The most severe missingness problem in these data is the considerable dropout rate in longitudinal studies that limits the power of statistical analysis and the validity of study findings. ...
Related Work This section provides an overview of related works for imputation techniques of clinical and epidemiological data, the visual analysis of cohort studies and missing data visualizations. ...
doi:10.2312/vcbm.20171236
dblp:conf/vcbm/AlemzadehNIVSSP17
fatcat:fmqwy2jus5hengdm7z2pznx3me
Visual Analytics for Epidemiology
2019
Eurographics State of the Art Reports
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We present visual analytics methods to analyze epidemiologic cohort studies. ...
Moreover, we tackle missing value problems and discuss appropriate imputation strategies and visual analytics support. ...
Summary and Outlook We developed a number of visual analytics solutions to leverage the potential of large cohort study data in epidemiology. ...
doi:10.2312/egm.20191034
fatcat:yed5pj25yfer7envx4o2g6wsza
Metabolomics Analytics Workflow for Epidemiological Research: Perspectives from the Consortium of Metabolomics Studies (COMETS)
2019
Metabolites
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used for analyzing metabolomics data in epidemiological studies worldwide. ...
The results indicated a variety of applied analytical strategies, from biospecimen and data pre-processing and quality control to statistical analysis and reporting of study findings. ...
Acknowledgments: The authors acknowledge the Consortium of Metabolomics Studies (COMETS) Steering Committee in supporting the COMETS Code Repository Working Group and COMETS Analytics. ...
doi:10.3390/metabo9070145
pmid:31319517
pmcid:PMC6681081
fatcat:me3m5dfblveclh4fjnkhillqcy
Visual Analytics of Image-Centric Cohort Studies in Epidemiology
[article]
2015
arXiv
pre-print
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In this chapter, we discuss such studies and how the evaluation may benefit from visual analytics. ...
Cluster analysis to define groups, reliable image analysis of organs in medical imaging data and shape space exploration to characterize anatomical shapes are among the visual analytics tools that may ...
Matthias Günther (Fraunhofer MEVIS) explained us quality aspects of MR imaging in epidemiologic studies. This work was supported by the DFG Priority Program 1335: Scalable Visual Analytics. ...
arXiv:1501.04009v1
fatcat:edtva6d2lfbjbmplmpkvpkkgxi
Interactive Visual Analysis of Lumbar Back Pain - What the Lumbar Spine Tells About Your Life
2015
Proceedings of the 6th International Conference on Information Visualization Theory and Applications
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Recently, these cohort studies comprise medical image data. We assess potential relations between image-derived variables of the lumbar spine with lower back pain in a cross-sectional study. ...
However, the presented approach is a valuable extension for the IVA of epidemiological data. Hence, relations between non-image variables were successfully detected and described. ...
Cohort studies are an instrument of epidemiological research. We analyze back pain, one of the most frequent complaints in the Western civilization. ...
doi:10.5220/0005235500850092
dblp:conf/grapp/KlemmGLRVHP15
fatcat:ewsut4iymva47jmqvmjk5d77ne
COMETS Analytics: An online tool for analyzing and meta-analyzing metabolomics data in large research consortia
2021
American Journal of Epidemiology
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We demonstrated that the application scales well by performing two data analyses in 45 cohort studies that together comprised measurements of 4,647 metabolites in up to 134,742 participants. ...
To address these concerns, we developed COnsortium of METabolomics Studies (COMETS) Analytics to support and streamline consortium-based analyses of metabolomics and other omics data. ...
data in epidemiology. ...
doi:10.1093/aje/kwab120
pmid:33889934
pmcid:PMC8897993
fatcat:l4fpsh2kqje3dgrdew3u5arjwy
Visualizing the Heterogeneity of Effects in the Analysis of Associations of Multiple Myeloma with Glyphosate Use. Comments on Sorahan, T. Multiple Myeloma and Glyphosate Use: A Re-Analysis of US Agricultural Health Study (AHS) Data. Int. J. Environ. Res. Public Health 2015, 12, 1548–1559
2016
International Journal of Environmental Research and Public Health
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We address a methodological issue of the evaluation of the difference in effects in epidemiological studies that may arise, for example, from stratum-specific analyses or differences in analytical decisions ...
during data analysis. ...
We did not receive funds to cover the costs of publishing in open access. Author Contributions: I.B. conceived and implemented statistical methodology; both authors wrote the paper. ...
doi:10.3390/ijerph14010005
pmid:28025514
pmcid:PMC5295256
fatcat:6efx4mqzezg37gs3435zvupiv4
Visual Subpopulation Discovery and Validation in Cohort Study Data
[article]
2017
arXiv
pre-print
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Epidemiology aims at identifying subpopulations of cohort participants that share common characteristics (e.g. alcohol consumption) to explain risk factors of diseases in cohort study data. ...
In this paper we describe our interactive Visual Analytics framework S-ADVIsED for SubpopulAtion Discovery and Validation In Epidemiological Data. ...
[ANI * 17] presented an application for the visual analysis of missing data in longitudinal cohort study data. ...
arXiv:1711.09377v1
fatcat:3yftv52hvrhujek4trvwvdfmmm
Application of Advanced Statistics in Ophthalmology
2011
Investigative Ophthalmology and Visual Science
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The increasing popularity of longitudinal follow-up in either clinical or epidemiologic study demands advanced statistical methodologies. ...
Statistics is an integral part of research in ophthalmology. ...
Acknowledgments The authors thank the two anonymous reviewers for their valuable comments, and Xu Haiyan (Centre of Molecular Epidemiology, Singapore) for help with the preparation of the manuscript. ...
doi:10.1167/iovs.10-7108
pmid:21807933
fatcat:ck2m6apo3jdznemwtwnkx7bjnm
Iterative cohort analysis and exploration
2014
Information Visualization
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This paper describes CAVA, a platform for Cohort Analysis via Visual Analytics. ...
When domain experts perform cohort analyses using such massive datasets, they typically rely on a team of technologists to help manage and process the data. ...
Unlike data that has been carefully curated for prospective cohort studies, retrospective data can be sparse, irregular, and suffer from many missing values. ...
doi:10.1177/1473871614526077
fatcat:jqt2vxrp2vf5hggpoplqajpwku
Writing an Evidence-Based Articles in Plastic Surgery Field
2013
Archives of Plastic Surgery
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participants (e.g., demographic, clinical, social) and information on exposures and potential confounders (b) Indicate number of participants with missing data for each variable of interest (c) Cohort ...
of study design early in the paper Setting 5 Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection Participants 6 (a) Cohort study ...
doi:10.5999/aps.2013.40.4.299
pmid:23898421
pmcid:PMC3723985
fatcat:doifinga3rcnta4tyfjiyje3bq
Male pattern baldness in relation to prostate cancer risks: An analysis in the VITamins and lifestyle (VITAL) cohort study
2014
The Prostate
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Results from previous epidemiologic studies are inconsistent. ...
Therefore, we investigated the association of prostate cancer risk with male pattern baldness at age 30 years, age 45 years, and baseline (median age=60.5 years) in the VITamins And Lifestyle (VITAL) cohort ...
Pfeiffer at Division of Cancer Epidemiology and Genetics, National Cancer Institute for her statistical consultation support. ...
doi:10.1002/pros.22927
pmid:25492530
pmcid:PMC4293210
fatcat:ivf36ajd5vg2xba3u4crndhhby
Yield and bias in defining a cohort study baseline from electronic health record data
2018
Journal of Biomedical Informatics
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Aims-Despite growing interest in using electronic health records (EHR) to create longitudinal cohort studies, the distribution and missingness of EHR data might introduce selection bias and information ...
Methods-We created a virtual cohort study of cardiovascular disease (CVD) from patients with eligible cholesterol profiles in the New England (NE) and Southeast (SE) networks of the Veterans Health Administration ...
JLV is supported by NIH L30-DK089597, KL2-TR001100, and Career Development Award IK2-CX001262 from the United States Department of Veterans Affairs Clinical Sciences Research and Development Service. ...
doi:10.1016/j.jbi.2017.12.017
pmid:29305952
pmcid:PMC5846098
fatcat:m5xigkdywzdtxdpixhq6kper7y
Recalibration of Blood Analytes over 25 Years in the Atherosclerosis Risk in Communities Study: Impact of Recalibration on Chronic Kidney Disease Prevalence and Incidence
2015
Clinical Chemistry
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We demonstrate the importance of consistent recalibration of laboratory assays in a cohort study. ...
Leveraging previous experience in the laboratory recalibration of biomarkers in large epidemiologic studies (1, 2, 5, 8 -10 ), we undertook recalibration of 8 key laboratory tests in the Atherosclerosis ...
Acknowledgments: The authors thank the staff and participants of the ARIC study for their important contributions. ...
doi:10.1373/clinchem.2015.238873
pmid:25952043
pmcid:PMC4782184
fatcat:sknsuxo2fzhute2452ftfgkihu
Toward a Standardized Strategy of Clinical Metabolomics for the Advancement of Precision Medicine
2020
Metabolites
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In this conceptual review, we will cover inclusive barriers of a metabolomics-based clinical study and suggest potential solutions in the hope of enhancing study robustness, usability, and transferability ...
translate achievements in metabolomics into clinical and epidemiological research. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/metabo10020051
pmid:32013105
pmcid:PMC7074059
fatcat:xwbqomk26jg7fn6rgnwwq267oe
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