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Author: Jeff Voivoda Publisher: iUniverse ISBN: 1450298257 Category : Computers Languages : en Pages : 157
Book Description
For organizations, its imperative to have the ability to analyze data sources, harmonize disparate data elements, and communicate the results of the analysis in an effective manner to stakeholders. Created by certified enterprise data architect Jeff Voivoda, this simple guide to data analysis and harmonization begins by identifying the problems caused by inefficient data storage. It moves through the life cycle of identifying, gathering, recording, harmonizing and presenting data so that it is organized and comprehensible. Other key areas covered include the following: Seeking out the right experts Reviewing data standards and considerations Grouping and managing data Understanding the practical applications of data analysis Suggesting next steps in the development life cycle. Its essential to understand data requirements, management tools, and industry-wide standards if you want your organization to succeed or improve on its already strong position. Determine your next strategic step and manage your data as an asset with Data Analysis and Harmonization.
Author: Jeff Voivoda Publisher: iUniverse ISBN: 1450298257 Category : Computers Languages : en Pages : 157
Book Description
For organizations, its imperative to have the ability to analyze data sources, harmonize disparate data elements, and communicate the results of the analysis in an effective manner to stakeholders. Created by certified enterprise data architect Jeff Voivoda, this simple guide to data analysis and harmonization begins by identifying the problems caused by inefficient data storage. It moves through the life cycle of identifying, gathering, recording, harmonizing and presenting data so that it is organized and comprehensible. Other key areas covered include the following: Seeking out the right experts Reviewing data standards and considerations Grouping and managing data Understanding the practical applications of data analysis Suggesting next steps in the development life cycle. Its essential to understand data requirements, management tools, and industry-wide standards if you want your organization to succeed or improve on its already strong position. Determine your next strategic step and manage your data as an asset with Data Analysis and Harmonization.
Author: Vasileios Pezoulas Publisher: Academic Press ISBN: 0128165596 Category : Science Languages : en Pages : 384
Book Description
Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. Examines the unmet needs in chronic diseases as a part of medical data sharing Discusses ethical, legal and privacy issues as part of data protection Combines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases
Author: Irina Tomescu-Dubrow Publisher: John Wiley & Sons ISBN: 1119712181 Category : Mathematics Languages : en Pages : 420
Book Description
Survey Data Harmonization in the Social Sciences An expansive and incisive overview of the practical uses of harmonization and its implications for data quality and costs In Survey Data Harmonization in the Social Sciences, a team of distinguished social science researchers delivers a comprehensive collection of ex-ante and ex-post harmonization methodologies in the context of specific longitudinal and cross-national survey projects. The book examines how ex-ante and ex-post harmonization work individually and in relation to one another, offering practical guidance on harmonization decisions in the preparation of new data infrastructure for comparative research. Contributions from experts in sociology, political science, demography, economics, health, and medicine are included, all of which give voice to discipline-specific and interdisciplinary views on methodological challenges inherent in harmonization. The authors offer perspectives from Europe and the United States, as well as Africa, the latter of which provides insights rarely featured in survey research methodology handbooks. Readers will also find: A thorough introduction to approaches and concepts for survey data harmonization, as well as the effects of data harmonization on the overall survey research process Comprehensive explorations of ex-ante harmonization of survey instruments and non-survey data Practical discussions of ex-post harmonization of national social surveys, census and time use data, including explorations of survey data recycling A detailed overview of statistical issues linked to the use of harmonized survey data Perfect for upper undergraduate and graduate researchers who specialize in survey methodology, Survey Data Harmonization in the Social Sciences will also earn a place in the libraries of survey practitioners who engage in international research.
Author: Janet A. Harkness Publisher: John Wiley & Sons ISBN: 0470609915 Category : Mathematics Languages : en Pages : 620
Book Description
A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance of cross-national and cross-cultural methodologies has heightened across various fields of study. Responding to increasing cultural diversity and rapid changes in how research is conducted, Survey Methods in Multinational, Multiregional, and Multicultural Contexts addresses the need for refined tools and improved procedures in cross-cultural and cross-national studies worldwide. Based on research submitted to the International Conference on Multinational, Multicultural, and Multiregional Survey Methods (3MC), this book identifies important changes in comparative methodology approaches, outlines new findings, and provides insight into future developments in the field. Some of the world's leading survey researchers gather in this volume to address the need for a standard framework that promotes quality assurance and quality control in survey research, and its impact on various stages of the survey life cycle, including study design and organization, cross-national sampling, testing and pretesting, data collection, and input and output variable harmonization. Self-contained chapters feature coverage of various topics, such as: Question and questionnaire design, from both global and study-specific perspectives The construction and evaluation of survey translations and instrument adaptations The effects of cultural difference on the perception of question and response categories Non-response issues Analysis in comparative contexts, featuring discussion of polytomous item response theory, categorization problems, and Multi-Trait-Multi-Methods (MTMM) The significance of evolving methodologies for current international survey programs, including the European Social Survey, the International Social Survey Programme, and the Gallup World Poll Survey Methods in Multinational, Multiregional, and Multicultural Contexts is a valuable supplement for courses on comparative survey methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for professionals who design, implement, and analyze comparative research in the areas of business, public health, and the social and behavioral sciences.
Author: Timothy P. Johnson Publisher: John Wiley & Sons ISBN: 1118885015 Category : Social Science Languages : en Pages : 907
Book Description
Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.
Author: Lauren Griffith Publisher: ISBN: Category : Languages : en Pages :
Book Description
OBJECTIVES: The aim of this study was to identify approaches to statistical harmonization which could be used in the context of summary data and/or individual participant data meta-analysis of cognitive measures and to apply and evaluate these different approaches to cognitive measures from three studies. DATA SOURCES: MEDLINE(r), Embase, Web of Science and MathSciNet with a supplemental search using the Google search engine. The references of relevant articles were also checked and a search for more recent articles that cited the articles already identified as being of interest was undertaken. REVIEW METHODS: A two-pronged approach was taken for this environmental scan. First, a search of studies that quantitatively combined data on cognition was conducted. The second component was to identify general literature on statistical methods for data harmonization. Standard environmental scan methods were used to conduct these reviews. The search results were rapidly screened to identify articles of relevance to this review. The references of relevant articles were checked and a search for more recent articles that cited the articles already identified as being of interest was undertaken. RESULTS: Three general classes of statistical harmonization models were identified: (1) standardization methods (e.g., simple linear-, Z-transformations, T-scores, and C-scores); (2) latent variable models; and (3) multiple imputation models. Cross-sectional data from three studies including 9,269 participants were included in the applied analyses to examine the relationship between physical activity and cognition. A harmonization process was undertaken to determine the combinability of data across studies. The latent variable analysis underscored the difficulty harmonizing these cognition data. In general consistency was found among the statistical harmonization methods; however, there was some evidence that heterogeneity can be masked when specific standardization methods were used. CONCLUSIONS: This study provides empirical evidence to inform methods of combining complex constructs using aggregate data (AD) or individual participant data meta-analysis. The results underscore that very careful consideration of inferential equivalence needs to be undertaken prior to combining cognition data across studies. Of the three methods of statistical harmonization for cognition data, T-score standardization is the least desirable compared with the centered score method or latent variable methods. Finally, assessment of the assumptions underlying statistical harmonization is not possible without some individual-level data which are required to assess the potential for bias in combining complex outcomes using AD meta-analysis.
Author: Ade Gafar Abdullah Publisher: Routledge ISBN: 1351680358 Category : Business & Economics Languages : en Pages : 407
Book Description
Regionalization and Harmonization in TVET contains the papers presented at the 4th UPI International Conference on Technical and Vocational Education and Training (TVET 2016, Bandung, Indonesia, 15-16 November 2016). 1. Standardization in Regionalization and Harmonization 2. Skill and Personal Development 3. Social and Cultural Issues 4. Teaching Innovations in TVET 5. Innovations in Engineering and Education.
Author: Xinguang Chen Publisher: Springer Nature ISBN: 3030352609 Category : Medical Languages : en Pages : 420
Book Description
This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.
Author: Jeff Voivoda
Author: Jeff Voivoda
Author: Vasileios Pezoulas
Author: Irina Tomescu-Dubrow
Author: Janet A. Harkness
Author: Callum G. Fraser
Author: Timothy P. Johnson
Author: Lauren Griffith
Author: Ade Gafar Abdullah
Author: Xinguang Chen
Author: National Cancer Institute (U.S.)