The ability to interpret and synthesise medical data is essential for doctors, yet it is a skill which can be difficult to master. Data Interpretation Made Easy focuses on developing this skill by presenting an array of case-based themes considering interpretation of blood results, X-rays, ECGs and CT images in medicine with discussion of evidence-based practice. The concise, list-based text aids easy comprehension and images provide the much needed link from raw data to evidence-based care and management. This highly practical book is essential reading for undergraduate medical students preparing for examinations. It is also ideal for junior doctors needing a succinct guide to data interpretation for everyday use. 'Dr Neel Sharma's latest venture on data interpretation has dozens of credible clinical scenarios covering many key areas of clinical medicine. And you will certainly feel challenged, as he leaves it up to you to diagnose and devise the treatment plan.' From the Foreword by Tiago Villanueva

The ability to interpret and synthesise medical data is essential for doctors, yet it is a skill which can be difficult to master. Data Interpretation Made Easy focuses on developing this skill by presenting an array of case-based themes considering interpretation of blood results, X-rays, ECGs and CT images in medicine with discussion of evidence-based practice. The concise, list-based text aids easy comprehension and images provide the much needed link from raw data to evidence-based care and management. This highly practical book is essential reading for undergraduate medical students pr.

Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented. Key Features: Addresses the role of statistics in evidence-based practice and program evaluation Features examples of qualitative and quantitative analysis Each chapter contains exercise problems and questions to enhance student learning Includes electronic data sets taken from actual social work arenas Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank

Make your data sing with data visualization. In today's data-driven world, it's more important than ever to be able to communicate data effectively. Data visualization is the art of transforming data into visually appealing charts, graphs, and dashboards that convey your message clearly and persuasively. Data Visualization Made Easy is the perfect resource for anyone who wants to learn how to use data visualization to communicate their data. This comprehensive guide covers everything you need to know, from the basics of data visualization to advanced topics such as data storytelling and dashboard design. Whether you're a student, a business professional, or a data enthusiast, Data Visualization Made Easy is the essential resource for learning how to communicate data effectively. Here are some of the key topics covered in the book: Introduction to data visualization Choosing the right data visualization Creating effective data visualizations Data storytelling Dashboard design With Data Visualization Made Easy, you'll be well on your way to becoming a data visualization expert.

A guide to reading and understanding rhythm strips and 12-lead ECGs, this updated edition reviews fundamental cardiac anatomy and physiology, explains how to interpret a rhythm strip, and teaches the reader how to recognize and treat 18 arrhythmias.

Data interpretation questions based on clinical cases are a popular means of testing medical students both during undergraduate studies and as an element of finals examinations. Written by a small team of authors with extensive teaching experience, 100 Cases in Medical Data Interpretation provides invaluable guidance from lecturers who understand from personal experience that detailed and accurate explanations are the key to successful revision. This book presents 100 cases arranged by specialty area—radiology, clinical chemistry, haematology and cardiology—as well as a random section of miscellaneous cases. Questions accompanying each case prompt the reader to consider how the data presented might be correctly understood. A clear discussion of how the correct answer was reached, with boxed highlights and bullet lists of key points, makes this book an excellent learning aid during all stages of clinical studies, and particularly while preparing for medical finals.

Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book's organization is intuitive, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literature - and the vocabulary you need to discuss it. - Uses an easy-to-understand presentation and writing style to make the material easily accessible. - Places its emphasis on concepts, not formulas, for more clinical-based guidance. - Focuses on practical applications of biostatistics to medical practice to give you a better understanding of how and why research is conducted. - Presents concise but comprehensive coverage to create easily accessible yet complete information. - Provides examples, analogies, and memorization tips to make the material easier to absorb.

Are you interested in postgraduate studies but worried about the research component? Are you faced with a complex business problem and do not know how to go about solving it? With changes in the world of work come new theories, new meanings and new applications. These require scientific methodologies and research strategies to obtain data and analyse it in such a way that the outcomes are reliable and generalisable. Research is synonymous with knowledge-creating which, in turn, is linked to innovation. Both of these are critical for economic and social development, as well as business development. But not all business practitioners are good researchers. And the broad landscape of the modern business world begs for a set of plans and models that can simultaneously provide stability and a breadth of development. This book offers this. The book provides easy referencing to most research techniques in the business domain. Depending on the problem at hand, there are numerous quantitative and qualitative methods described, as well as ways and means to write down the main problem. Beginners and specialists are reminded how to read and write academically and how to become good researchers.

"This book is written for all medical students and is ideal for OSCE practice, during ward rounds and clinical years ..." -- BOOK COVER.