Working With Data In Public Health A Practical Pathway With R

Author : Peng Zhao
Publisher : Springer Nature
ISBN 13 : 9819901359
Total Pages : 201 pages
Book Rating : 4.57/5 ( download)

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Download or read book Working with Data in Public Health: A Practical Pathway with R written by Peng Zhao and published by Springer Nature. This book was released on 2023-03-29 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete practical guide of processing data in public health with R language. On the basis of the author’s research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.

Author : Amy A. Eyler, PhD, CHES
Publisher : Springer Publishing Company
ISBN 13 : 0826182062
Total Pages : 285 pages
Book Rating : 4.67/5 ( download)

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Download or read book Research Methods for Public Health written by Amy A. Eyler, PhD, CHES and published by Springer Publishing Company. This book was released on 2020-11-05 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Note to Readers: Publisher does not guarantee quality or access to any included digital components if book is purchased through a third-party seller. Research Methods for Public Health provides foundational knowledge and practical guidance for all steps in the research process using public health examples and real-world applications to reinforce all concepts. It covers everything students need to have a firm basis on how to design public health research, how to collect and manage data using a variety of study designs and methods, and how to share research results. Foundational topics such as searching the literature, finding gaps, formulating research questions, operationalization and measurement, sampling, budgeting for research studies, summarizing and visualizing data, disseminating results and more are explained in clear and accessible prose. The textbook emphasizes skills including question development, survey design and implementation, qualitative methodology, mixed methods research, how to record and analyze quantitative and qualitative data, and how to use secondary data. Regardless of whether you are starting your scientific research career path, or are on track to become a public health practitioner, or plan on becoming a health policymaker, this textbook provides an authoritative introduction to research and its importance on improving public health practice for everyone entering the field. Richly illustrated and with an abundance of helpful tables, boxes, and practical public health case studies and examples, this textbook contains the core principles, concepts, and knowledge of how to design, plan, evaluate, and disseminate public health research. Research Methods for Public Health comes with a full Instructor package including PowerPoints, test banks, and an Instructor’s Manual with detailed classroom activities, CEPH competency mapping, and more. Key Features: Provides the principles and best practices of general research methods texts combined with specific public health relevance Applicable to students who want to conduct research as part of their career as well as those who need the skills to understand how public health evidence is developed through research Includes chapters on Developing Budgets and Timelines for Research Studies and Disseminating Research Results, topics often overlooked in other textbooks Aligns content with program competencies and skills essential for those entering the public health field Contains numerous illustrations, tables, boxes, and case studies which provide important context to key concepts

Author : Stuart McClean
Publisher : SAGE
ISBN 13 : 1526485524
Total Pages : 377 pages
Book Rating : 4.26/5 ( download)

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Download or read book Research Methods for Public Health written by Stuart McClean and published by SAGE. This book was released on 2019-09-30 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Methods for Public Health offers an in-depth introduction to the theories, concepts, approaches and practices, relevant to research methods in a public health setting. Informed by a socio-ecological model of public health, the book uses real world research examples and contemporary social, political and environmental themes of public health that reflect UK and international contexts. The book provides a straightforward approach to developing a research project and applying methods in practical and realistic ways, using an innovative, integrative approach that combines methodologies. The authors have moved away from traditional approaches to research methods, and include chapters on primary quantitative, qualitative and mixed methods research, evidence synthesis approaches, critical appraisal, research governance and ethics, and dissemination. Essential reading for postgraduate students, researchers and public health practitioners, or individuals preparing for the UK Faculty of Public Health Part A examination.

Author : Robert Hirsch
Publisher : Springer Nature
ISBN 13 : 3031419146
Total Pages : 115 pages
Book Rating : 4.40/5 ( download)

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Download or read book Analysis of Epidemiologic Data Using R written by Robert Hirsch and published by Springer Nature. This book was released on 2023-09-10 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.

Author : Gareth Hagger-Johnson
Publisher : Routledge
ISBN 13 : 1317674421
Total Pages : 328 pages
Book Rating : 4.29/5 ( download)

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Download or read book Introduction to Research Methods and Data Analysis in the Health Sciences written by Gareth Hagger-Johnson and published by Routledge. This book was released on 2014-06-20 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whilst the ‘health sciences’ are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to appraise and conduct research is emphasised within the health sciences – and students are expected increasingly to do both. Introduction to Research Methods and Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research – critical numbers, critical appraisal of existing research, and conducting new research – this accessible textbook introduces: Descriptive statistics Measures of association for categorical and continuous outcomes Confounding, effect modification, mediation and causal inference Critical appraisal Searching the literature Randomised controlled trials Cohort studies Case-control studies Research ethics and data management Dissemination and publication Linear regression for continuous outcomes Logistic regression for categorical outcomes. A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book’s exercises and activities. Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.

Author : Jenine K. Harris
Publisher : SAGE Publications
ISBN 13 : 1506388167
Total Pages : 785 pages
Book Rating : 4.68/5 ( download)

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Download or read book Statistics With R written by Jenine K. Harris and published by SAGE Publications. This book was released on 2019-12-19 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on examples from across the social and behavioral sciences, Statistics With R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters.

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309452961
Total Pages : 583 pages
Book Rating : 4.60/5 ( download)

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Download or read book Communities in Action written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-04-27 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

Author : David H. Peters
Publisher : World Health Organization
ISBN 13 : 9241506210
Total Pages : 69 pages
Book Rating : 4.12/5 ( download)

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Download or read book Implementation Research in Health written by David H. Peters and published by World Health Organization. This book was released on 2013 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in implementation research is growing, largely in recognition of the contribution it can make to maximizing the beneficial impact of health interventions. As a relatively new and, until recently, rather neglected field within the health sector, implementation research is something of an unknown quantity for many. There is therefore a need for greater clarity about what exactly implementation research is, and what it can offer. This Guide is designed to provide that clarity. Intended to support those conducting implementation research, those with responsibility for implementing programs, and those who have an interest in both, the Guide provides an introduction to basic implementation research concepts and language, briefly outlines what it involves, and describes the many opportunities that it presents. The main aim of the Guide is to boost implementation research capacity as well as demand for implementation research that is aligned with need, and that is of particular relevance to health systems in low- and middle-income countries (LMICs). Research on implementation requires the engagement of diverse stakeholders and multiple disciplines in order to address the complex implementation challenges they face. For this reason, the Guide is intended for a variety of actors who contribute to and/or are impacted by implementation research. This includes the decision-makers responsible for designing policies and managing programs whose decisions shape implementation and scale-up processes, as well as the practitioners and front-line workers who ultimately implement these decisions along with researchers from different disciplines who bring expertise in systematically collecting and analyzing information to inform implementation questions. The opening chapters (1-4) make the case for why implementation research is important to decision-making. They offer a workable definition of implementation research and illustrate the relevance of research to problems that are often considered to be simply administrative and provide examples of how such problems can be framed as implementation research questions. The early chapters also deal with the conduct of implementation research, emphasizing the importance of collaboration and discussing the role of implementers in the planning and designing of studies, the collection and analysis of data, as well as in the dissemination and use of results. The second half of the Guide (5-7) detail the various methods and study designs that can be used to carry out implementation research, and, using examples, illustrates the application of quantitative, qualitative, and mixed-method designs to answer complex questions related to implementation and scale-up. It offers guidance on conceptualizing an implementation research study from the identification of the problem, development of research questions, identification of implementation outcomes and variables, as well as the selection of the study design and methods while also addressing important questions of rigor.

Author : Greg Guest
Publisher : SAGE Publications
ISBN 13 : 148332222X
Total Pages : 833 pages
Book Rating : 4.23/5 ( download)

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Download or read book Public Health Research Methods written by Greg Guest and published by SAGE Publications. This book was released on 2014-02-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public Health Research Methods is a comprehensive collection of research methods used in the field of public health. This text is about providing researchers, and future researchers, with an up-to-date and comprehensive set of tools to investigate public health issues and problems, to ultimately better inform public health policy and practice. The contents of this book go beyond traditional epidemiologic approaches and cover the various research methods and technologies that are emerging in the new public health landscape.

Author : Cedric Gondro
Publisher : Springer
ISBN 13 : 3319144758
Total Pages : 283 pages
Book Rating : 4.57/5 ( download)

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Download or read book Primer to Analysis of Genomic Data Using R written by Cedric Gondro and published by Springer. This book was released on 2015-05-18 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. At a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de facto tool for analysis of gene expression data, in addition to its prominent role in analysis of genomic data. Benefits to using R include the integrated development environment for analysis, flexibility and control of the analytic workflow. Included topics are core components of advanced undergraduate and graduate classes in bioinformatics, genomics and statistical genetics. This book is also designed to be used by students in computer science and statistics who want to learn the practical aspects of genomic analysis without delving into algorithmic details. The datasets used throughout the book may be downloaded from the publisher’s website.