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Comparison of three major meta-analytic approaches
1995
Journal of Applied Psychology
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Three major meta-analytic approaches have been developed and applied to integrate empirical research. ...
A comparison of their statistical formulas suggested that they should yield different answers to the meta-analytic questions of central tendency, variability, and prediction by moderators. ...
Comparison of Statistical Formulas to Answer Analytic Questions On some of the three meta-analytic tasks, the three general approaches provide an apparently equivalent solution, including especially the ...
doi:10.1037//0021-9010.80.1.94
fatcat:eityh5lscjfkvkfmpj2d5yqauu
Comparison of three major meta-analytic approaches
1995
Journal of Applied Psychology
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
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Three major meta-analytic approaches have been developed and applied to integrate empirical research. ...
A comparison of their statistical formulas suggested that they should yield different answers to the meta-analytic questions of central tendency, variability, and prediction by moderators. ...
Comparison of Statistical Formulas to Answer Analytic Questions On some of the three meta-analytic tasks, the three general approaches provide an apparently equivalent solution, including especially the ...
doi:10.1037/0021-9010.80.1.94
fatcat:6ibnacpdqjaa5l6ngvlcd2lxny
Tracking Visitor Engagement in the Blogosphere for Leveraging Rankings
2013
2013 International Conference on Social Computing
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The benefit of this plugin is to provide analytics based on the blog where the plugin is installed as well as analytics based on the whole community of bloggers. ...
With this information a blogger is able to gain significant knowledge advantage. ...
Thus, the BlogIntelligence project can use the developed plugin to gain access to visitor statistics to extend and improve a blog ranking as described by Berger [3] and Bross et al. [1] . ...
doi:10.1109/socialcom.2013.57
dblp:conf/socialcom/HennigBMGHLR13
fatcat:3b4u7l56rzgvfpxsjh2mztjdga
Data Cleaning
2016
Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
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Detecting and repairing dirty data is one of the perennial challenges in data analytics, and failure to do so can result in inaccurate analytics and unreliable decisions. ...
While traditionally such approaches are distinct from quantitative approaches such as outlier detection, we also discuss recent work that casts such approaches into a statistical estimation framework including ...
"For Statistics" are the ones that are explicitly designed to support data cleaning for aggregate analytics and advanced statistical analytics. ...
doi:10.1145/2882903.2912574
dblp:conf/sigmod/ChuIKW16
fatcat:4htyrvwp3fafjgvrchb3rwjtym
Speedup your analytics
2019
Proceedings of the VLDB Endowment
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Database and big data analytics systems such as Hadoop and Spark have a large number of configuration parameters that control memory distribution, I/O optimization, parallelism, and compression. ...
In this tutorial, we review existing approaches on automatic parameter tuning for databases, Hadoop, and Spark, which we classify into six categories: rule-based, cost modeling, simulation-based, experiment-driven ...
2) An overview of tuning approaches used by the current database and big data platforms including rule-based, cost modeling, simulationbased, experiment-driven, machine learning, and adaptive approaches ...
doi:10.14778/3352063.3352112
fatcat:umll4pn3dzgkhj3pnse32bzv3i
The Global Earthquake Model Physical Vulnerability Database
2016
Earthquake spectra
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The database comprises fragility and vulnerability curves, damage-to-loss models, and capacity curves for various types of structures. ...
The attributes that have been selected to characterize each function, the constraints of setting up a usable database, the challenges in collecting these models, and the current trends in the development ...
ACKNOWLEDGEMENTS The Authors would like to express their gratitude for the dozens of experts that have provided their models for the vulnerability database, as well as their feedback regarding its structure ...
doi:10.1193/011816eqs015dp
fatcat:zptuyz4be5d2tertzzqftsdlqm
A Rebuttal to Borchgrevink's Criticism of Our Meta-Analytic Recommendations
1998
Journal of Hospitality & Tourism Research
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Borchgrevink presented flawed arguments against our (Lynn & Mullen) previous recommendation that hospitality researchers employ meta-analytic techniques other than those of Hunter and Schmidt. ...
Conclusions Borchgrevink's (1998) defense of the Hunter and Schmidt (1990) meta-analytic techniques is flawed. ...
However, the major purpose of our original article was not to criticize Hunter and Schmidt but to promote the use of meta-analysis in hospitality research. ...
doi:10.1177/109634809802200110
fatcat:wfdcfgvlzngjdal3z7i3plz7nm
Approaches for combining primary care electronic health record data from multiple sources: a systematic review of observational studies
2020
BMJ Open
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Of 62 analytical studies, 22 (36%) presented separate results from each database, with no attempt to combine them; 29 (48%) combined individual patient data in a one-stage meta-analysis and 21 (34%) combined ...
for using multiple data sources; methods used to manage, analyse and (where applicable) combine data; and approaches used to assess and report heterogeneity between data sources.DesignA systematic review ...
Acknowledgements We would like to thank Russell Burke (Information Services, London School of Hygiene and Tropical Medicine) for his advice on bibliographic search strategies. ...
doi:10.1136/bmjopen-2020-037405
pmid:33055114
pmcid:PMC7559041
fatcat:gz6ds7pxefcqrp2w66jvbx6ici
What is analytic infrastructure and why should you care?
2009
SIGKDD Explorations
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For example, analytic infrastructure includes databases and data warehouses, statistical and data mining systems, scoring engines, grids and clouds. ...
In this article, we discuss the importance of analytic infrastructure and some of the standards that can be used to support analytic infrastructure. ...
Broadly speaking, there are two basic approaches that have Step been used to capture an analytic process. ...
doi:10.1145/1656274.1656277
fatcat:gzubm674bfappglmbspxdxiftm
Approximation of statistical implicative analysis to learning analytics
2016
Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality - TEEM '16
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The aim of this paper is to study the approximation of Statistical Implicative Analysis theory (SIA) to Learning Analytics (LA). ...
To this end, we have created an approximation framework based on the definition, stages, and methods used in LA. In total, three criteria approach and thirty-six sub-themes were compared. ...
RQ2: What area Learning Analytics stages observed according to the Five Stages of Analytics from educational research using an SIA approach? ...
doi:10.1145/3012430.3012540
fatcat:3cbj3fbkkbbu5fk7mwnpwlikci
Metabolomics Analytics Workflow for Epidemiological Research: Perspectives from the Consortium of Metabolomics Studies (COMETS)
2019
Metabolites
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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. ...
The application of metabolomics technology to epidemiological studies is emerging as a new approach to elucidate disease etiology and for biomarker discovery. ...
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
Leveraging big data using a novel clinical database and analytic platform based on 323,145 individuals with and without of Diabetes
2017
Canadian Journal of Biotechnology
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, treatment patterns and develop an efficient and effective approach to identify biomarkers for diagnosis and improve therapy. ...
It offers analytical tools to compute descriptive statistics of clinical variables for cohorts as well as visualizations to understand the disease progression of diabetes, uncover key event patterns such ...
, treatment patterns and develop an efficient and effective approach to identify biomarkers for diagnosis and improve therapy. ...
doi:10.24870/cjb.2017-a211
fatcat:hyru6utfevatvcnvl4ofmrtpni
Integrating Modeling Languages and Web Logs for Enhanced User Behavior Analytics
2017
Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion
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While basic Web analytics tools are widespread and provide statistics about Web site navigation, no approaches exist for merging such statistics with information about the Web application structure, content ...
data, by applying both traditional data visualization techniques and direct representation of statistics on visual models of the Web application. ...
Notice that each analytics result may refer to global statistics for the whole website, or to one or more model elements (e.g., ViewCompoment, ViewContainer and Interac-tionFlow ). ...
doi:10.1145/3041021.3054734
dblp:conf/www/Bernaschina0K0U17
fatcat:3vbjsnx4o5hnrprbzsigbmzw2y
The MADlib analytics library
2012
Proceedings of the VLDB Endowment
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MADlib is a free, open source library of in-database analytic methods. ...
It provides an evolving suite of SQL-based algorithms for machine learning, data mining and statistics that run at scale within a database engine, with no need for data import/export to other tools. ...
Typically, framework-based approaches offer a template whose goal is to automate the common aspects of deploying an analytic task. ...
doi:10.14778/2367502.2367510
fatcat:bqz6ufkkpvf2jngbjbmw7jhnwu
Integrated approach for designing medical decision support systems with knowledge extracted from clinical databases by statistical methods
1991
Proceedings. Symposium on Computer Applications in Medical Care
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In clinical research data is often studied by a particular method without previous analysis of quality or semantic contents which could link clinical database and data analytical (e.g. statistical) procedures ...
In the second step our aim is to build an appropriate dictionary of data analysis methods for further knowledge extraction. ...
Acknowledgements This research has been partly supported by the Swedish Institute and DAGMAR50 project to Ewa Krusinska as well as by Research Committee of Slovenia to Ankica Babic during their stay at ...
pmid:1807621
pmcid:PMC2247553
fatcat:l3ieczkhx5cb3pcmdom2y2uaoe
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