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Book Report Writing for Data Science in R

Download or read book Report Writing for Data Science in R written by Roger Peng and published by Lulu.com. This book was released on 2015-12-03 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducibility is the idea that data analyses should be published or made available with their data and software code so that others may verify the findings and build upon them. The need for reproducible report writing is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This book will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.

Book Authoring a PhD

    Book Details:
  • Author : Patrick Dunleavy
  • Publisher : Bloomsbury Publishing
  • Release : 2017-04-28
  • ISBN : 0230802087
  • Pages : 311 pages

Download or read book Authoring a PhD written by Patrick Dunleavy and published by Bloomsbury Publishing. This book was released on 2017-04-28 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging and highly regarded book takes readers through the key stages of their PhD research journey, from the initial ideas through to successful completion and publication. It gives helpful guidance on forming research questions, organising ideas, pulling together a final draft, handling the viva and getting published. Each chapter contains a wealth of practical suggestions and tips for readers to try out and adapt to their own research needs and disciplinary style. This text will be essential reading for PhD students and their supervisors in humanities, arts, social sciences, business, law, health and related disciplines.

Book Frontiers in Massive Data Analysis

Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Book The Chicago Guide to Writing about Multivariate Analysis  Second Edition

Download or read book The Chicago Guide to Writing about Multivariate Analysis Second Edition written by Jane E. Miller and published by University of Chicago Press. This book was released on 2013-09-26 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.

Book Responsible Conduct of Research

Download or read book Responsible Conduct of Research written by Adil E. Shamoo and published by Oxford University Press. This book was released on 2009-02-12 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent scandals and controversies, such as data fabrication in federally funded science, data manipulation and distortion in private industry, and human embryonic stem cell research, illustrate the importance of ethics in science. Responsible Conduct of Research, now in a completely updated second edition, provides an introduction to the social, ethical, and legal issues facing scientists today.

Book Cochrane Handbook for Systematic Reviews of Interventions

Download or read book Cochrane Handbook for Systematic Reviews of Interventions written by Julian P. T. Higgins and published by Wiley. This book was released on 2008-11-24 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.

Book Data Analysis in Qualitative Research

Download or read book Data Analysis in Qualitative Research written by Stefan Timmermans and published by University of Chicago Press. This book was released on 2022-06-06 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship. In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences. In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond. In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways. Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data. From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists pinpoint the most promising paths to take in their approach.

Book Collecting  Analyzing and Reporting Data

Download or read book Collecting Analyzing and Reporting Data written by Colleen Conway and published by Oxford University Press. This book was released on 2020-03-02 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a newly updated paperback release, Collecting, Analyzing, and Reporting Data considers an array of strategies for working with qualitative data in American music education. Observations, interviews, focus groups, document analysis and music-making as data reveal unique potential to inform the field of music education. The capabilities of digital technologies to collect and analyze data, as well as the challenges they present, are examined in the context of an increasingly digitized American society. Guidance is provided to the researcher to understand their role and the ethical landscape they navigate. Collecting, Analyzing, and Reporting Data is the second of three paperback volumes derived from the original Oxford Handbook of Qualitative Research in American Music Education, which outlines the history of qualitative research in music education and explores the contemporary use of qualitative approaches in examining issues related to music teaching and learning.

Book The Prevention and Treatment of Missing Data in Clinical Trials

Download or read book The Prevention and Treatment of Missing Data in Clinical Trials written by National Research Council and published by National Academies Press. This book was released on 2010-12-21 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.

Book The Global Findex Database 2017

Download or read book The Global Findex Database 2017 written by Asli Demirguc-Kunt and published by World Bank Publications. This book was released on 2018-04-19 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

Book Assessments and Measures in Psychotherapy Research  Going Beyond Self Report Data

Download or read book Assessments and Measures in Psychotherapy Research Going Beyond Self Report Data written by Jessica Uhl and published by Frontiers Media SA. This book was released on 2023-10-31 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tailoring the treatment to the individual patient can improve the effectiveness of psychotherapy. To do so, the treatment or strategy with the best prognosis for the individual patient can be selected at the beginning of therapy. Furthermore, the therapeutic approach can be adapted during the course of treatment. To support the therapist in such decisions, prediction algorithms are used, which are able to process complex and comprehensive data (precision mental health). Statistical methods used in psychotherapy research to analyze data and develop predictive models have recently become more advanced. However, algorithms cannot do better than what the underlying data provide them in terms of information. Therefore, our predictions and recommendations could benefit from a broader range of data beyond the traditional patient- or therapist-rated questionnaires.

Book Registries for Evaluating Patient Outcomes

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.

Book Reproducibility and Replicability in Science

Download or read book Reproducibility and Replicability in Science written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-10-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

Book Doing Your Education Research Project

Download or read book Doing Your Education Research Project written by Neil Burton and published by SAGE. This book was released on 2014-01-14 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a trainee teacher or experienced practitioner new to research, or are simply wondering how to get started on your education research project, this practical book will be your guide. The authors offer simple steps to ensure that you ask the key questions in the most effective way possible. The book guides you through the entire research process: from clarifying the context and conceptual background, to presenting and analysing the evidence gathered. Supported by examples, checklists and diagrams, this fully revised and updated edition includes a wealth of information on: Research design Evidence gathering techniques Practitioner research Ethics Data analysis techniques. This book will be valuable to anyone begining a research or a professional or a professional or school development project, whatever stage they are at within the teaching community, from training for QTS, higher degree, or in need of evidence-backed decisions for the strategic development of their school.

Book Inside Jobs

    Book Details:
  • Author : Joe Payne
  • Publisher : Simon and Schuster
  • Release : 2020-09-29
  • ISBN : 1510764496
  • Pages : 191 pages

Download or read book Inside Jobs written by Joe Payne and published by Simon and Schuster. This book was released on 2020-09-29 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: From data security company Code42, Inside Jobs offers companies of all sizes a new way to secure today’s collaborative cultures—one that works without compromising sensitive company data or slowing business down. Authors Joe Payne, Jadee Hanson, and Mark Wojtasiak, seasoned veterans in the cybersecurity space, provide a top-down and bottom-up picture of the rewards and perils involved in running and securing organizations focused on rapid, iterative, and collaborative innovation. Modern day data security can no longer be accomplished by “Big Brother” forms of monitoring or traditional prevention solutions that rely solely on classification and blocking systems. These technologies frustrate employees, impede collaboration, and force productivity work-arounds that risk the very data you need to secure. They provide the illusion that your trade secrets, customer lists, patents, and other intellectual property are protected. That couldn’t be farther from the truth, as insider threats continue to grow. These include: Well-intentioned employees inadvertently sharing proprietary data Departing employees taking your trade secrets with them to the competition A high-risk employee moving source code to an unsanctioned cloud service What’s the solution? It’s not the hunt for hooded, malicious wrongdoers that you might expect. The new world of data security is built on security acting as an ally versus an adversary. It assumes positive intent, creates organizational transparency, establishes acceptable data use policies, increases security awareness, and provides ongoing training. Whether you are a CEO, CIO, CISO, CHRO, general counsel, or business leader, this book will help you understand the important role you have to play in securing the collaborative cultures of the future.

Book Sharing Clinical Trial Data

    Book Details:
  • Author : Institute of Medicine
  • Publisher : National Academies Press
  • Release : 2015-04-20
  • ISBN : 0309316324
  • Pages : 236 pages

Download or read book Sharing Clinical Trial Data written by Institute of Medicine and published by National Academies Press. This book was released on 2015-04-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.