Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Data Quality Services A Complete Guide 2020 Edition full books in PDF, epub, and Kindle. Read online Data Quality Services A Complete Guide 2020 Edition ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Dimitrios Sargiotis
Publisher : Springer Nature
ISBN 13 : 3031672682
Total Pages : 553 pages
Book Rating : 4.0/5 (316 download)
Download or read book Data Governance written by Dimitrios Sargiotis and published by Springer Nature. This book was released on with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tim King
Publisher : BCS, The Chartered Institute for IT
ISBN 13 : 9781780174594
Total Pages : 150 pages
Book Rating : 4.1/5 (745 download)
Download or read book Managing Data Quality written by Tim King and published by BCS, The Chartered Institute for IT. This book was released on 2020-04-27 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61. Examples of good practice in data quality management are also included.
Author : John Ladley
Publisher : Academic Press
ISBN 13 : 0128158328
Total Pages : 352 pages
Book Rating : 4.1/5 (281 download)
Download or read book Data Governance written by John Ladley and published by Academic Press. This book was released on 2019-11-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition
Author : Agency for Healthcare Research and Quality/AHRQ
Publisher : Government Printing Office
ISBN 13 : 1587634333
Total Pages : 385 pages
Book Rating : 4.5/5 (876 download)
Download or read book Registries for Evaluating Patient Outcomes written by Agency for Healthcare Research and Quality/AHRQ and published by Government Printing Office. This book was released on 2014-04-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author : Danette McGilvray
Publisher : Academic Press
ISBN 13 : 0128180161
Total Pages : 378 pages
Book Rating : 4.1/5 (281 download)
Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Academic Press. This book was released on 2021-05-27 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
Author : World Health Organization
Publisher : World Health Organization
ISBN 13 : 9240085041
Total Pages : 24 pages
Book Rating : 4.2/5 (4 download)
Download or read book Module for assessing and strengthening the quality of viral load testing data within HIV programmes and patient monitoring systems: implementation tool, Second edition written by World Health Organization and published by World Health Organization. This book was released on 2024-03-26 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: This technical update of the 2020 viral load data quality module provides further guidance on the recommended data quality assurance activities, updated web annexes to support country implementation, and generic budgets for viral load testing data quality monitoring activities. These are part of ongoing efforts to standardize approaches to ensure that accurate and timely HIV viral load testing data and results are available for both clinical use and to strengthen programme monitoring. This aligns with recommendations outlined in the 2022 WHO Consolidated guidelines on person-centred HIV strategic information on data quality assessment and improvement. The updated guidance on the priority indicators and the key elements of data quality include: - Key indicators to be included in data quality monitoring activities; - Main activities to be included in the viral load testing data quality assessment process; - The calculation of viral load test turnaround times; - Considerations for data quality assessments for sites with electronic data systems; - Sampling for national data quality assessments of sites and clinical records; - Data quality monitoring via lot-quality assurance sampling; - Considerations for facilities with point-of-care or near point-of-care viral load testing; - Considerations for data quality assessments of viral load testing data for pregnant and breastfeeding women; and - Recording the limitations and challenges of data quality monitoring assurance activities.
Author : Crystal Lewis
Publisher : CRC Press
ISBN 13 : 1040045820
Total Pages : 278 pages
Book Rating : 4.0/5 (4 download)
Download or read book Data Management in Large-Scale Education Research written by Crystal Lewis and published by CRC Press. This book was released on 2024-07-09 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research data management is becoming more complicated. Researchers are collecting more data, using more complex technologies, all the while increasing the visibility of our work with the push for data sharing and open science practices. Ad hoc data management practices may have worked for us in the past, but now others need to understand our processes as well, requiring researchers to be more thoughtful in planning their data management routines. This book is for anyone involved in a research study involving original data collection. While the book focuses on quantitative data, typically collected from human participants, many of the practices covered can apply to other types of data as well. The book contains foundational context, instructions, and practical examples to help researchers in the field of education begin to understand how to create data management workflows for large-scale, typically federally funded, research studies. The book starts by describing the research life cycle and how data management fits within this larger picture. The remaining chapters are then organized by each phase of the life cycle, with examples of best practices provided for each phase. Finally, considerations on whether the reader should implement, and how to integrate those practices into a workflow, are discussed. Key Features: Provides a holistic approach to the research life cycle, showing how project management and data management processes work in parallel and collaboratively Can be read in its entirety, or referenced as needed throughout the life cycle Includes relatable examples specific to education research Includes a discussion on how to organize and document data in preparation for data sharing requirements Contains links to example documents as well as templates to help readers implement practices
Author : Andrew Jones
Publisher : Packt Publishing Ltd
ISBN 13 : 1837636249
Total Pages : 206 pages
Book Rating : 4.8/5 (376 download)
Download or read book Driving Data Quality with Data Contracts written by Andrew Jones and published by Packt Publishing Ltd. This book was released on 2023-06-30 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything you need to know to apply data contracts and build a truly data-driven organization that harnesses quality data to deliver tangible business value Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand data contracts and their power to resolving the problems in contemporary data platforms Learn how to design and implement a cutting-edge data platform powered by data contracts Access practical guidance from the pioneer of data contracts to get expert insights on effective utilization Book DescriptionDespite the passage of time and the evolution of technology and architecture, the challenges we face in building data platforms persist. Our data often remains unreliable, lacks trust, and fails to deliver the promised value. With Driving Data Quality with Data Contracts, you’ll discover the potential of data contracts to transform how you build your data platforms, finally overcoming these enduring problems. You’ll learn how establishing contracts as the interface allows you to explicitly assign responsibility and accountability of the data to those who know it best—the data generators—and give them the autonomy to generate and manage data as required. The book will show you how data contracts ensure that consumers get quality data with clearly defined expectations, enabling them to build on that data with confidence to deliver valuable analytics, performant ML models, and trusted data-driven products. By the end of this book, you’ll have gained a comprehensive understanding of how data contracts can revolutionize your organization’s data culture and provide a competitive advantage by unlocking the real value within your data.What you will learn Gain insights into the intricacies and shortcomings of today's data architectures Understand exactly how data contracts can solve prevalent data challenges Drive a fundamental transformation of your data culture by implementing data contracts Discover what goes into a data contract and why it's important Design a modern data architecture that leverages the power of data contracts Explore sample implementations to get practical knowledge of using data contracts Embrace best practices for the successful deployment of data contracts Who this book is for If you’re a data engineer, data leader, architect, or practitioner thinking about your data architecture and looking to design one that enables your organization to get the most value from your data, this book is for you. Additionally, staff engineers, product managers, and software engineering leaders and executives will also find valuable insights.
Author : Tran Khanh Dang
Publisher : Springer Nature
ISBN 13 : 303063924X
Total Pages : 466 pages
Book Rating : 4.0/5 (36 download)
Download or read book Future Data and Security Engineering written by Tran Khanh Dang and published by Springer Nature. This book was released on 2020-11-19 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, which was supposed to be held in Quy Nhon, Vietnam, in November 2020, but the conference was held virtually due to the COVID-19 pandemic. The 24 full papers (of 53 accepted full papers) presented together with 2 invited keynotes were carefully reviewed and selected from 161 submissions. The other 29 accepted full and 8 short papers are included in CCIS 1306. The selected papers are organized into the following topical headings: security issues in big data; big data analytics and distributed systems; advances in big data query processing and optimization; blockchain and applications; industry 4.0 and smart city: data analytics and security; advanced studies in machine learning for security; and emerging data management systems and applications.
Author : Uche Nnene
Publisher : Espresso Tutorials GmbH
ISBN 13 : 3960124473
Total Pages : 264 pages
Book Rating : 4.9/5 (61 download)
Download or read book Practical Guide to Data Migration with SAP S/4HANA Migration Cockpit written by Uche Nnene and published by Espresso Tutorials GmbH. This book was released on 2020-04-03 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you work in a company that uses SAP or other non-SAP ERP systems and are looking at migrating to the latest digital core from SAP, whether the cloud or on-premise edition, then this book is for you! Explore your options for transitioning to SAP S/4HANA. Walk in detail through the phases of a data migration project using SAP Activate methodology. Identify SAP rapid data migration best practices for SAP S/4HANA with SAP Data Services. Learn about methods for migrating data to a new SAP implementation scenario, as well as the SAP Data Services architecture that deals with the process of extraction, transformation, and load (ETL) of data. Examine the steps required to execute the migration within the ETL stages and how SAP Data Services can be extended to meet additional migration needs. Take a deep dive into SAP S/4HANA migration cockpit and SAP S/4HANA migration object modeler. Walk through the steps required for migrating data from source systems to SAP S/4HANA (on-premise or cloud edition) using the preconfigured data migration objects delivered by SAP. Delve into the process of creating a migration project and generating the upload template, as well as the steps for uploading and validating the data, including error handling. Review the various migration options and tools available for migrating your legacy data to SAP S/4HANA (on-premise or cloud edition). - Data migration scenarios and tools for moving data to S/4HANA - Plan an S/4HANA data migration using SAP Activate methodology - Step-by-step guide for using S/4HANA migration cockpit and S/4HANA migration object modeler - Evaluate S/4HANA migration tools
Author : Marek Chmel
Publisher : Packt Publishing Ltd
ISBN 13 : 1789950333
Total Pages : 522 pages
Book Rating : 4.7/5 (899 download)
Download or read book SQL Server 2019 Administrator's Guide written by Marek Chmel and published by Packt Publishing Ltd. This book was released on 2020-09-11 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Microsoft SQL Server 2019 to implement, administer, and secure a robust database solution that is disaster-proof and highly available Key FeaturesExplore new features of SQL Server 2019 to set up, administer, and maintain your database solution successfullyDevelop a dynamic SQL Server environment and streamline big data pipelinesDiscover best practices for fixing performance issues, database access management, replication, and securityBook Description SQL Server is one of the most popular relational database management systems developed by Microsoft. This second edition of the SQL Server Administrator's Guide will not only teach you how to administer an enterprise database, but also help you become proficient at managing and keeping the database available, secure, and stable. You’ll start by learning how to set up your SQL Server and configure new and existing environments for optimal use. The book then takes you through designing aspects and delves into performance tuning by showing you how to use indexes effectively. You’ll understand certain choices that need to be made about backups, implement security policy, and discover how to keep your environment healthy. Tools available for monitoring and managing a SQL Server database, including automating health reviews, performance checks, and much more, will also be discussed in detail. As you advance, the book covers essential topics such as migration, upgrading, and consolidation, along with the techniques that will help you when things go wrong. Once you’ve got to grips with integration with Azure and streamlining big data pipelines, you’ll learn best practices from industry experts for maintaining a highly reliable database solution. Whether you are an administrator or are looking to get started with database administration, this SQL Server book will help you develop the skills you need to successfully create, design, and deploy database solutions. What you will learnDiscover SQL Server 2019’s new features and how to implement themFix performance issues by optimizing queries and making use of indexesDesign and use an optimal database management strategyCombine SQL Server 2019 with Azure and manage your solution using various automation techniquesImplement efficient backup and recovery techniques in line with security policiesGet to grips with migrating, upgrading, and consolidating with SQL ServerSet up an AlwaysOn-enabled stable and fast SQL Server 2019 environmentUnderstand how to work with Big Data on SQL Server environmentsWho this book is for This book is for database administrators, database developers, and anyone who wants to administer large and multiple databases single-handedly using Microsoft's SQL Server 2019. Basic awareness of database concepts and experience with previous SQL Server versions is required.
Author : John W. Foreman
Publisher : John Wiley & Sons
ISBN 13 : 1118839862
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)
Download or read book Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Author : Chunlong Zhang
Publisher : John Wiley & Sons
ISBN 13 : 111977859X
Total Pages : 581 pages
Book Rating : 4.1/5 (197 download)
Download or read book Fundamentals of Environmental Sampling and Analysis written by Chunlong Zhang and published by John Wiley & Sons. This book was released on 2024-02-29 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Environmental Sampling and Analysis A fully reworked and updated introduction to the fundamentals and applications of environmental sampling and analysis Environmental sampling and analysis are essential components of environmental data acquisition and scientific research. The acquisition of reliable data with respect to proper sampling, chemical and instrumental methodology, and QA/QC is a critical precursor to all environmental work. No would-be environmental scientist, engineer, or policymaker can succeed without an understanding of how to correctly acquire, assess and use credible data. Fundamentals of Environmental Sampling and Analysis, 2nd edition provides this understanding, with a comprehensive survey of the theory and applications of these critical sampling and analytical tools. The field of environmental research has expanded greatly since the publication of the first edition, and this book has been completely rewritten to reflect the latest studies and technological developments. The resulting mix of theory and practice will continue to serve as the standard introduction to the subject. Readers of the second edition of Fundamentals of Environmental Sampling and Analysis will also find: Three new chapters and numerous expanded sections on topics of emerging environmental concerns Detailed discussion of subjects including passive sampling, Raman spectroscopy, non-targeted mass spectroscopic analysis, and many more Over 500 sample problems and solutions along with other supplementary instructional materials Fundamentals of Environmental Sampling and Analysis is ideal for students of environmental science and engineering as well as professionals and regulators for whom reliable environmental data through sampling and analysis is critical.
Author : Dama International
Publisher :
ISBN 13 : 9781634622349
Total Pages : 628 pages
Book Rating : 4.6/5 (223 download)
Download or read book DAMA-DMBOK written by Dama International and published by . This book was released on 2017 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.
Author : Kaveh Hushyar
Publisher : CRC Press
ISBN 13 : 1000404684
Total Pages : 250 pages
Book Rating : 4.0/5 (4 download)
Download or read book Telecom Extreme Transformation written by Kaveh Hushyar and published by CRC Press. This book was released on 2021-07-28 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The extreme transformation from a traditional Communication Service Provider (CSP) to a Digital Service Provider (DSP) status is covered in this book, specifically: Redefinition of the offerings of "connectivity services" to "digital services"; unification of legacy redundant networks into one; Redefinition of the measurements to customer-centric QoE for all digital and connectivity services; the Best-in-Industry processes and practices to ensure a sustainable network performance at a competitively operational efficiency; a Service-over-IP (SoIP) platform to enable the introduction of unified new services with a time-to-market urgency; the regulatory arrangement for content purification, to liberalize CSPs to become DSPs; an architecture for data mining and analytics; and a migration plan from a CSP to a DSP status. The book is recommended for telecom and digital service professionals planning to embark on transformational projects; telecom and technology equipment manufacturers to help with product development for a DSP status; institutional investors to evaluate and establish their investment decisions; telecom management consultants to help with a solid benchmark for transformation engagement; university students, majoring in telecommunication and technology products as a guide for career planning.
Author : Thomas C. Redman
Publisher : Harvard Business Press
ISBN 13 : 1422163644
Total Pages : 273 pages
Book Rating : 4.4/5 (221 download)
Download or read book Data Driven written by Thomas C. Redman and published by Harvard Business Press. This book was released on 2008-09-22 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.
Author : Nancy Devlin
Publisher : Springer Nature
ISBN 13 : 3030476227
Total Pages : 114 pages
Book Rating : 4.0/5 (34 download)
Download or read book Methods for Analysing and Reporting EQ-5D Data written by Nancy Devlin and published by Springer Nature. This book was released on 2020-08-21 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first published guide about how to analyse data produced by the EQ-5D, one of the most widely used Patient Reported Outcomes questionnaires world wide. The authors provide practical, clear and comprehensive guidance in five concise chapters. Following an overview of the EQ-5D and its analysis, we describe how the questionnaire data – the EQ-5D profile and EQ VAS – can be analysed in different ways to generate important insights into peoples’ health. We then show how the value sets which accompany the EQ-5D can be applied to summarise patients’ data. The final chapter deals with advanced topics, including the use of Minimally Important Differences, case-mix adjustment, mapping, and more. This book is essential for those new to analyzing EQ-5D data and will be also be valuable for those with more experience. The methods can be applied to any EQ-5D instrument (for example, the three- and five-level and Youth versions) and many of the methods described will be equally relevant to other Patient Reported Outcomes instruments.
