Author : H. L. C. Beynon
Publisher :
Page : 217 pages
File Size : 32,41 MB
Release : 1998
Category : Medical
ISBN : 9780443056949
Here's an essential revision tool for the MRCP exam. The second book in this three-book series, written by renowned experts, offers fully detailed answers and helps to prepare students in data interpretation of laboratory or other results (such as ECGs) by implementing practical case histories.
Author : ABM Abdullah
Publisher : JP Medical Ltd
Page : 516 pages
File Size : 18,30 MB
Release : 2014-11-30
Category : Medical
ISBN : 9351523756
Salient features of this book: a unique book for mastering the skills of interpreting various types of data in clinical medicine; useful for postgraduate students to practice and assess their competency in interpreting clinical scenarios; contains 333 case histories and clinical data, 26 spirometry tracings, 14 family trees, 16 data on cardiac catheterization and 171 clinical pictures; relevant clinical information regarding a disease condition have been provided in 'answers' section to help students get a complete idea about the disease without going through voluminous textbooks; helpful for teachers and busy practitioners to quickly refresh their memory; more than enough information for undergraduates and interns.
Author : Folgert Karsdorp
Publisher : Princeton University Press
Page : 352 pages
File Size : 41,9 MB
Release : 2021-01-12
Category : Computers
ISBN : 0691172366
A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations
Author : Gábor Békés
Publisher : Cambridge University Press
Page : 741 pages
File Size : 21,23 MB
Release : 2021-05-06
Category : Business & Economics
ISBN : 1108483011
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author : Mark A. Kramer
Publisher : MIT Press
Page : 385 pages
File Size : 26,49 MB
Release : 2016-11-04
Category : Science
ISBN : 0262529378
A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data. This practical, hands-on approach is unique among data analysis textbooks and guides, and equips the reader with the tools necessary for real-world neural data analysis. The book begins with an introduction to MATLAB, the most common programming platform in neuroscience, which is used in the book. (Readers familiar with MATLAB can skip this chapter and might decide to focus on data type or method type.) The book goes on to cover neural field data and spike train data, spectral analysis, generalized linear models, coherence, and cross-frequency coupling. Each chapter offers a stand-alone case study that can be used separately as part of a targeted investigation. The book includes some mathematical discussion but does not focus on mathematical or statistical theory, emphasizing the practical instead. References are included for readers who want to explore the theoretical more deeply. The data and accompanying MATLAB code are freely available on the authors' website. The book can be used for upper-level undergraduate or graduate courses or as a professional reference. A version of this textbook with all of the examples in Python is available on the MIT Press website.
Author : Hans-Ulrich Laasch
Publisher : PasTest Ltd
Page : 500 pages
File Size : 36,30 MB
Release : 2003
Category : Medical
ISBN : 9781901198171
The MRCP Part 2 Examination is increasingly orientated around evidence-based medicine, up-to-date patient management and current guidelines. This is a move away from the esoteric questions seen in the past and it makes a more useful exam. This book combines the three sections of the exam; case histories, data interpretations and photographic material, to give candidates all round practice.
Author : Tilak D. Raj
Publisher : Springer
Page : 450 pages
File Size : 27,30 MB
Release : 2017-09-09
Category : Medical
ISBN : 3319558625
Focusing on the interpretation of data commonly available to anesthesiologists, this book presents a data point, followed by discussion in a question and answer format. Covering EKG's, X-Rays, MRI's, graphs, paper recordings, blood gas results, laboratory results, patient case histories and more, Data Interpretation in Anesthesia provides an enhanced and stimulating learning format for residents in training and practitioners alike.
Author : Robert E. Stake
Publisher : Guilford Press
Page : 496 pages
File Size : 31,79 MB
Release : 2013-04-29
Category : Psychology
ISBN : 1462512402
Examining situational complexity is a vital part of social and behavioral science research. This engaging text provides an effective process for studying multiple cases--such as sets of teachers, staff development sessions, or clinics operating in different locations--within one complex program. The process also can be used to investigate broadly occurring phenomena without programmatic links, such as leadership or sibling rivalry. Readers learn to design, analyze, and report studies that balance common issues across the group of cases with the unique features and context of each case. Three actual case reports from a transnational early childhood program illustrate the author's approach, and helpful reproducible worksheets facilitate multicase recording and analysis.
Author : Albert J. Mills
Publisher : SAGE
Page : 1153 pages
File Size : 44,3 MB
Release : 2010
Category : Reference
ISBN : 1412956706
This is the authoritative reference work in the field. An interdisciplinary set, it investigates the extensive history, design and methods of case study research.
Author : Robert K. Yin
Publisher : SAGE
Page : 241 pages
File Size : 46,30 MB
Release : 2009
Category : Psychology
ISBN : 1412960991
Providing a complete portal to the world of case study research, the Fourth Edition of Robert K. Yin’s bestselling text Case Study Research offers comprehensive coverage of the design and use of the case study method as a valid research tool. This thoroughly revised text now covers more than 50 case studies (approximately 25% new), gives fresh attention to quantitative analyses, discusses more fully the use of mixed methods research designs, and includes new methodological insights. The book’s coverage of case study research and how it is applied in practice gives readers access to exemplary case studies drawn from a wide variety of academic and applied fields. Key Features of the Fourth Edition Highlights each specific research feature through 44 boxed vignettes that feature previously published case studies Provides methodological insights to show the similarities between case studies and other social science methods Suggests a three-stage approach to help readers define the initial questions they will consider in their own case study research Covers new material on human subjects protection, the role of Institutional Review Boards, and the interplay between obtaining IRB approval and the final development of the case study protocol and conduct of a pilot case Includes an overall graphic of the entire case study research process at the beginning of the book, then highlights the steps in the process through graphics that appear at the outset of all the chapters that follow Offers in-text learning aids including “tips” that pose key questions and answers at the beginning of each chapter, practical exercises, endnotes, and a new cross-referencing table Case Study Research, Fourth Edition is ideal for courses in departments of Education, Business and Management, Nursing and Public Health, Public Administration, Anthropology, Sociology, and Political Science.
