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Data Interpretation Questions and Case Histories by H. L. C. Beynon Pdf
Complementary to the first and third books in the Complete MRCP series, this book contains a selection of data interpretation questions and case histories similar to those encountered in Part 2 of the MRCP examination. Many questions are accompanied by expanded answers in order to aid revision.
Case History & Data Interpretation in Medical Practice by ABM Abdullah Pdf
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.
H. L. C. Beynon,Johan van den Bogaerde,K. A. Davies
Author : H. L. C. Beynon,Johan van den Bogaerde,K. A. Davies Publisher : Unknown Page : 217 pages File Size : 50,7 Mb Release : 1998 Category : Medical ISBN : 0443056943
Data Interpretation Questions and Case Histories by H. L. C. Beynon,Johan van den Bogaerde,K. A. Davies Pdf
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.
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 : Mark A. Kramer,Uri T. Eden Publisher : MIT Press Page : 385 pages File Size : 41,7 Mb Release : 2016-11-04 Category : Science ISBN : 9780262529372
Case Studies in Neural Data Analysis by Mark A. Kramer,Uri T. Eden Pdf
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.
Written for nurses and nursing students, Nursing Research: A Qualitative Perspective, Fourth Edition defines qualitative research and presents information on the current state of this important field. Divided into three sections, Part I provides foundational content for understanding the qualitative research process; Part II presents the more dominant methods, following each with an exemplar method; and Part III, with the contributions of six new authors, discusses considerations essential to conducting qualitative research. Nursing Research: A Qualitative Perspective contains recent qualitative methods and examples, including phenomenology, ethnography, and case study methods. Nine new essential chapters have been added to the Fourth Edition to provide a complete foundation in qualitative research.
Humanities Data Analysis by Folgert Karsdorp,Mike Kestemont,Allen Riddell Pdf
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
Case Studies in Data Analysis by Jane F. Gentleman,G.A. Whitmore Pdf
This volume is a collection of eight Case Studies in Data Analysis that appeared in various issues of the Canadian Journal of Statistics (OS) over a twelve year period from 1982 to 1993. One follow-up article to Case Study No.4 is also included in the volume. The OS's Section on Case Studies in Data Analysis was initiated by a former editor who wanted to increase the analytical content of the journal. We were asked to become Section Co-Editors and to develop a format for the case studies. Each case study presents analyses of a real data set by two or more analysts or teams of analysts working independently in a simulated consulting context. The section aimed at demonstrating the process of statistical analysis and the possible diversity of approaches and conclusions. For each case study, the Co-Editors found a set of real Canadian data, posed what they thought was an interesting statistical problem, and recruited analysts working in Canada who were willing to tackle it. The published case studies describe the data and the problem, and present and discuss the analysts' solutions. For some case studies, the providers of the data were invited to contribute their own analysis.
The MRCP is the most popular postgraduate qualification attained by junior doctors before embarking on specialization within medicine. The Part Two exam is divided into written and clinical tests, and is notoriously difficult. This title covers all the three papers of the written exam: data interpretation where a candidate is given laboratory results or an ECG to interpret; case histories which simply test a candidate's ability to make a diagnosis based on written information; and picture tests where the candidate is given 20 photographs to interpret with questions attached.
Multiple Case Study Analysis by Robert E. Stake Pdf
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 : J. David M. Edgar Publisher : Elsevier Health Sciences Page : 210 pages File Size : 52,8 Mb Release : 2006-01-25 Category : Medical ISBN : 9780443072796
Master Medicine: Immunology by J. David M. Edgar Pdf
This title is directed primarily towards health care professionals outside of the United States. This series of books reflects the trend towards a core curriculum and self-directed learning. The content is restricted to the 'must know' core information presented in a synoptic style. The diagrams that support the text are in a style that the reader can remember and reproduce in examinations. Each chapter ends with a selection of self-assessment material and full explanatory answers. These consolidate and expand on the chapter contents. This volumes presents an integrated coverage of basic and clinical immunology. Despite the use of problem- and/or topic-based curricula students still respond to the security of a well-ordered presentation of the basic information by traditional discipline. Concise text of the essential core material Accompanying self assessment material ideal for self-directed learning Simple line drawings of a style that can be easily reproduced in examinations New smaller format to fit on bookshop shelves. New internal design to look more up to date. Much stronger series cover design to encourage bookshops to display as a series. Increased self-assessment Includes the new OSCE style questions that are increasingly used in examinations. More consistent use of learning objectives.
