Meta Analytics

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  • Publisher : Morgan Kaufmann
  • Release : 10 March 2019
  • ISBN : 9780128146248
  • Page : 340 pages
  • Rating : 4.5/5 from 103 voters

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Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. Provides comprehensive and systematic coverage of machine learning-based data analysis tasks Enables rapid progress towards competency in data analysis techniques Gives exhaustive and widely applicable patterns for use by data scientists Covers hybrid or ‘meta’ approaches, along with general analytics Lays out information and practical guidance on data analysis for practitioners working across all sectors

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Meta-Analytics

Meta-Analytics
  • Author : Steven Simske
  • Publisher : Morgan Kaufmann
  • Release Date : 2019-03-10
  • ISBN : 9780128146248
GET THIS BOOKMeta-Analytics

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine

Doing Meta-Analysis with R

Doing Meta-Analysis with R
  • Author : Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert
  • Publisher : CRC Press
  • Release Date : 2021-09-15
  • ISBN : 9781000435634
GET THIS BOOKDoing Meta-Analysis with R

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced

Business and Consumer Analytics: New Ideas

Business and Consumer Analytics: New Ideas
  • Author : Pablo Moscato,Natalie Jane de Vries
  • Publisher : Springer
  • Release Date : 2019-05-30
  • ISBN : 9783030062224
GET THIS BOOKBusiness and Consumer Analytics: New Ideas

This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational

Introduction to Meta-Analysis

Introduction to Meta-Analysis
  • Author : Michael Borenstein,Larry V. Hedges,Julian P. T. Higgins,Hannah R. Rothstein
  • Publisher : John Wiley & Sons
  • Release Date : 2011-08-24
  • ISBN : 9781119964377
GET THIS BOOKIntroduction to Meta-Analysis

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect

Handbook of Meta-analysis in Ecology and Evolution

Handbook of Meta-analysis in Ecology and Evolution
  • Author : Julia Koricheva,Jessica Gurevitch,Kerrie Mengersen
  • Publisher : Princeton University Press
  • Release Date : 2013-04-21
  • ISBN : 9781400846184
GET THIS BOOKHandbook of Meta-analysis in Ecology and Evolution

Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and

Meta-Analysis

Meta-Analysis
  • Author : Mike W.-L. Cheung
  • Publisher : John Wiley & Sons
  • Release Date : 2015-05-06
  • ISBN : 9781119993438
GET THIS BOOKMeta-Analysis

Presents a novel approach to conducting meta–analysis using structural equation modeling. Structural equation modeling (SEM) and meta–analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta–analytic data within the SEM framework, and illustrates how to conduct meta–analysis using the metaSEM package in the R statistical environment. Meta–Analysis: A Structural Equation Modeling

The Handbook of Research Synthesis and Meta-Analysis

The Handbook of Research Synthesis and Meta-Analysis
  • Author : Harris Cooper,Larry V. Hedges,Jeffrey C. Valentine
  • Publisher : Russell Sage Foundation
  • Release Date : 2019-06-14
  • ISBN : 9781610448864
GET THIS BOOKThe Handbook of Research Synthesis and Meta-Analysis

Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of The Handbook of Research Synthesis and Meta-Analysis was published in 1994, it quickly became the definitive reference for conducting meta-analyses in both the social and behavioral sciences. In the third edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of classic chapters and add new sections that

Meta-Analysis in Environmental Economics

Meta-Analysis in Environmental Economics
  • Author : J.C. van den Bergh,Kenneth J. Button,Peter Nijkamp,G.C. Pepping
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • ISBN : 9789401588652
GET THIS BOOKMeta-Analysis in Environmental Economics

Meta-analysis is a formal synthesis of results and findings of scientific studies, which can assist in gaining new insights, explaining differences between results of similar studies, or determine useful directions of research. In this book we focus on the use of meta-analysis in environmental economics and related fields of study. The first part of the book covers the overall meta-approach methodology for social sciences and economics in particular. This is followed by technical and non-technical discussions of statistical and rough-set

Individual Participant Data Meta-Analysis

Individual Participant Data Meta-Analysis
  • Author : Richard D. Riley,Jayne F. Tierney,Lesley A. Stewart
  • Publisher : John Wiley & Sons
  • Release Date : 2021-06-08
  • ISBN : 9781119333722
GET THIS BOOKIndividual Participant Data Meta-Analysis

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the

Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
  • Author : Wang, Baoying
  • Publisher : IGI Global
  • Release Date : 2014-10-31
  • ISBN : 9781466666122
GET THIS BOOKBig Data Analytics in Bioinformatics and Healthcare

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of

Causal Analytics for Applied Risk Analysis

Causal Analytics for Applied Risk Analysis
  • Author : Louis Anthony Cox Jr.,Douglas A. Popken,Richard X. Sun
  • Publisher : Springer
  • Release Date : 2018-06-19
  • ISBN : 9783319782423
GET THIS BOOKCausal Analytics for Applied Risk Analysis

Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available

Network Meta-Analysis for Decision-Making

Network Meta-Analysis for Decision-Making
  • Author : Sofia Dias,A. E. Ades,Nicky J. Welton,Jeroen P. Jansen,Alexander J. Sutton
  • Publisher : John Wiley & Sons
  • Release Date : 2018-03-19
  • ISBN : 9781118647509
GET THIS BOOKNetwork Meta-Analysis for Decision-Making

A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
  • Author : Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki
  • Publisher : Springer Nature
  • Release Date : 2021-08-25
  • ISBN : 9783030854478
GET THIS BOOKResponsible AI and Analytics for an Ethical and Inclusive Digitized Society

This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
  • Author : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
  • Publisher : Springer Nature
  • Release Date : 2020-10-12
  • ISBN : 9783030552589
GET THIS BOOKBig Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses

Marketing at the Confluence between Entertainment and Analytics

Marketing at the Confluence between Entertainment and Analytics
  • Author : Patricia Rossi
  • Publisher : Springer
  • Release Date : 2017-04-29
  • ISBN : 9783319473314
GET THIS BOOKMarketing at the Confluence between Entertainment and Analytics

This volume presents the full proceedings of the 2016 Academy of Marketing Science (AMS) World Marketing Congress held in Paris, France. It contains current research in marketing from academics, scholars, and practitioners from around the world. Focusing on advancing marketing theory and practice, this volume will help marketers to move forward in providing value for companies, consumers, and society. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science