Converting Data into Evidence
Converting Data into Evidence

Author: Alfred DeMaris

Publisher: Springer Science & Business Media

Published: 2013-07-23

Total Pages: 231

ISBN-13: 1461477921

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Converting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughout their professional careers. These techniques play an important part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heart of this research is the science of statistics. It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authors begin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. They then proceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate and bivariate tests. The coverage then moves to statistical modeling, including linear and logistic regression and survival analysis. In a final chapter, a user-friendly introduction to some newer, cutting-edge, regression techniques will be included, such as fixed-effects regression and growth-curve modeling. A unique feature of the work is the extensive presentation of statistical applications from recent medical literature. Over 30 different articles are explicated herein, taken from such journals. With the aid of this primer, the medical researcher will also find it easier to communicate with the statisticians on his or her research team. The book includes a glossary of statistical terms for easy access. This is an important reference work for the shelves of physicians, nurses, nurse practitioners, physician’s assistants, medical students, and residents.

Evidence-Building and Evaluation in Government
Evidence-Building and Evaluation in Government

Author: Kathryn Newcomer

Publisher: SAGE Publications

Published: 2021-11-26

Total Pages: 158

ISBN-13: 1071808753

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Public managers, contractors, and grantees conducting evaluations for government operate in complex environment where policymakers and commissioners of evaluation expect different types of “evidence” and simultaneously employ different criteria in judging the quality of that evidence. This text provides a road map for evaluators doing business within or for government, and public managers who are expected to assess and use evidence generated by a large variety of evaluation approaches. The book provides checklists and how-to guidance to help students and other readers develop skills in important activities such as: assessing the quality of evidence claims; developing theories of change to guide the design and evaluation of programs and policies; developing learning agendas to bridge the gap between evidence producers and potential evidence users; and increasing the support of public leaders and executives in the generation and use of evidence to inform their decision-making. The authors include end-of-chapter exercises for readers to test their ability to apply the skills described.

Official (ISC)2® Guide to the CCFP CBK
Official (ISC)2® Guide to the CCFP CBK

Author: Peter Stephenson

Publisher: CRC Press

Published: 2014-07-24

Total Pages: 998

ISBN-13: 1482262479

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Cyber forensic knowledge requirements have expanded and evolved just as fast as the nature of digital information has—requiring cyber forensics professionals to understand far more than just hard drive intrusion analysis. The Certified Cyber Forensics Professional (CCFPSM) designation ensures that certification holders possess the necessary breadth, depth of knowledge, and analytical skills needed to address modern cyber forensics challenges. Official (ISC)2® Guide to the CCFP® CBK® supplies an authoritative review of the key concepts and requirements of the Certified Cyber Forensics Professional (CCFP®) Common Body of Knowledge (CBK®). Encompassing all of the knowledge elements needed to demonstrate competency in cyber forensics, it covers the six domains: Legal and Ethical Principles, Investigations, Forensic Science, Digital Forensics, Application Forensics, and Hybrid and Emerging Technologies. Compiled by leading digital forensics experts from around the world, the book provides the practical understanding in forensics techniques and procedures, standards of practice, and legal and ethical principles required to ensure accurate, complete, and reliable digital evidence that is admissible in a court of law. This official guide supplies a global perspective of key topics within the cyber forensics field, including chain of custody, evidence analysis, network forensics, and cloud forensics. It also explains how to apply forensics techniques to other information security disciplines, such as e-discovery, malware analysis, or incident response. Utilize this book as your fundamental study tool for achieving the CCFP certification the first time around. Beyond that, it will serve as a reliable resource for cyber forensics knowledge throughout your career.

Doing Effective Fieldwork
Doing Effective Fieldwork

Author: Elia Shabani Mligo

Publisher: Wipf and Stock Publishers

Published: 2013-03-13

Total Pages: 208

ISBN-13: 1621896331

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We live in a context of change, whereby postmodernity shapes our understanding and our searching for truth. Postmodernity dictates not only what kind of results we obtain in our researches, but also on the ways we use to search for truth. This means that postmodernity dictates the ways we do research in various disciplines, the ways we use to analyze the research results, and the ways we use to communicate the findings. Postmodernity is the paradigm in which we are greatly concerned. What is the place of rules of research, research ethics, selection of the problem, and designing of research as we consider the context whereby nothing absolute can be envisaged? How should one review the literature to suit this postmodern understanding of reality? How should one argue his or her case? This book is designed to help students in higher learning institutions learn qualitative research methods in classrooms or by themselves. It moves students and researchers from modern ways of understanding, doing, and communicating qualitative research towards postmodern challenges and promises. In this case, the book is worthy reading to every serious student and researcher who seeks to equip oneself to the current issues of qualitative research methodology.

Smart Grid and Innovative Frontiers in Telecommunications
Smart Grid and Innovative Frontiers in Telecommunications

Author: Maggie Cheng

Publisher: Springer Nature

Published: 2021-04-08

Total Pages: 145

ISBN-13: 3030735621

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This book constitutes the refereed proceedings of the 5th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2020, held in Chicago, USA, in December 2020. Due to COVID-19 pandemic, the conference was held virtually. The 13 full papers were selected from 28 submissions and focus on the development of digital technology and smart grid which enables the smooth integration of centralised or distributed power generation, energy storage, and distribution. The papers are grouped thematically into: Communications, Networks and Services; Security and Stable Control; Internet of Power Things and Big Data.

Evidence-Based Statistics
Evidence-Based Statistics

Author: Peter M. B. Cahusac

Publisher: John Wiley & Sons

Published: 2020-10-13

Total Pages: 256

ISBN-13: 1119549809

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Evidence-Based Statistics: An Introduction to the Evidential Approach – from Likelihood Principle to Statistical Practice provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to perform. This book explains how to express data in terms of the strength of statistical evidence for competing hypotheses. The evidential approach is currently underused, despite its mathematical precision and statistical validity. Evidence-Based Statistics is an accessible and practical text filled with examples, illustrations and exercises. Additionally, the companion website complements and expands on the information contained in the book. While the evidential approach is unlikely to replace probability-based methods of statistical inference, it provides a useful addition to any statistician’s “bag of tricks.” In this book: It explains how to calculate statistical evidence for commonly used analyses, in a step-by-step fashion Analyses include: t tests, ANOVA (one-way, factorial, between- and within-participants, mixed), categorical analyses (binomial, Poisson, McNemar, rate ratio, odds ratio, data that’s ‘too good to be true’, multi-way tables), correlation, regression and nonparametric analyses (one sample, related samples, independent samples, multiple independent samples, permutation and bootstraps) Equations are given for all analyses, and R statistical code provided for many of the analyses Sample size calculations for evidential probabilities of misleading and weak evidence are explained Useful techniques, like Matthews’s critical prior interval, Goodman’s Bayes factor, and Armitage’s stopping rule are described Recommended for undergraduate and graduate students in any field that relies heavily on statistical analysis, as well as active researchers and professionals in those fields, Evidence-Based Statistics: An Introduction to the Evidential Approach – from Likelihood Principle to Statistical Practice belongs on the bookshelf of anyone who wants to amplify and empower their approach to statistical analysis.

Statistical Inference as Severe Testing
Statistical Inference as Severe Testing

Author: Deborah G. Mayo

Publisher: Cambridge University Press

Published: 2018-09-20

Total Pages: 503

ISBN-13: 1108563309

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Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Statistics for Evidence-Based Practice in Nursing
Statistics for Evidence-Based Practice in Nursing

Author: MyoungJin Kim

Publisher: Jones & Bartlett Publishers

Published: 2017

Total Pages: 428

ISBN-13: 1284088375

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Statistics for Evidence-Based Practice in Nursing, Second Edition presents statistics in a readable, user-friendly manner for both graduate students and the professional nurse.

Interpreting Biomedical Science
Interpreting Biomedical Science

Author: Ülo Maiväli

Publisher: Academic Press

Published: 2015-06-12

Total Pages: 416

ISBN-13: 0124199569

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Interpreting Biomedical Science: Experiment, Evidence, and Belief discusses what can go wrong in biological science, providing an unbiased view and cohesive understanding of scientific methods, statistics, data interpretation, and scientific ethics that are illustrated with practical examples and real-life applications. Casting a wide net, the reader is exposed to scientific problems and solutions through informed perspectives from history, philosophy, sociology, and the social psychology of science. The book shows the differences and similarities between disciplines and different eras and illustrates the concept that while sound methodology is necessary for the progress of science, we cannot succeed without a right culture of doing things. - Features theoretical concepts accompanied by examples from biological literature - Contains an introduction to various methods, with an emphasis on statistical hypothesis testing - Presents a clear argument that ties the motivations and ethics of individual scientists to the success of their science - Provides recommendations on how to safeguard against scientific misconduct, fraud, and retractions - Arms young scientists with practical knowledge that they can use every day