The third edition of PDQ Statistics provides an overview of all major statistical methods, giving the reader a good understanding of statistics and how they are used in research articles. It covers the major categories – variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples.
This handy book serves as a "Pretty Darn Quick" guide to statistical concepts and formulas. The clever, irreverent writing style makes reading interesting and enjoyable, and conveys valuable information on critically evaluating medical literature. This edition emphasizes multivariate and non-parametric statistics. The book contains both black-and-white and two-color illustrations.
PDQ Epidemiology will help to fill the considerable gap between the exact findings of the laboratory and the uncertain world of clinical medicine. By translating the terminology of epidemiology into easy-to-understand language, the underlying scientific methods begin to emerge and make sense. The third edition reflects the maturation of the field, which now encompasses much more than the 'randomized, controlled trial.' New sections explain techniques that have been introduced into the field since the previous edition, the section on RCT has been expanded and updated examples have been incorporated. The section on measurement has also been brought into line with newer thinking on reliability and validity. Featuring unique examples titled Circular Reasoning and Anti-intellectual Pomposity Detectors (CRAP Detectors), the text helps the reader identify studies with basic flaws in design or reasoning.
Provides instructions on developing optimal database search strategies for retrieving sound clinical studies of etiology, prognosis, diagnosis, prevention or treatment of disorders.
This new edition of the book will be produced in two versions. The textbook will include a CD-Rom with two videotaped lectures by the authors. This book translates biostatistics in the health sciences literature with clarity and irreverence. Students and practitioners alike, applaud Biostatistics as the practical guide that exposes them to every statistical test they may encounter, with careful conceptual explanations and a minimum of algebra. What's New? The new Bare Essentials reflects recent advances in statistics, as well as time-honored methods. For example, "hierarchical linear modeling" which first appeared in psychology journals and only now is described in medical literature. Also new, is a chapter on testing for equivalence and non-inferiority. As well as a chapter with information to get started with the computer statistics program, SPSS. Free of calculations and jargon, Bare Essentials speaks so plainly that you won't need a technical dictionary. No math, all concepts. The objective is to enable you to determine if the research results are applicable to your own patients. Throughout the guide, you'll find highlights of areas in which researchers misuse or misinterpret statistical tests. We have labeled these "C.R.A.P. Detectors" (Convoluted Reasoning and Anti-intellectual Pomposity), which help you to identify faulty methodology and misuse of statistics.
Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
Understanding and Using Advanced Statistics is a comprehensive, practical guide for postgraduate students advising how and when to use more advanced statistical methods. Perfect for students without a mathematical background, the authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper-level techniques to cater for the advanced student. Key Features: - Comprehensive guide informing how to use a range of advanced statistical methods such as MANOVA, path analysis and logistical regression; - Inter-disciplinary: ideal for students studying upper level statistical methods in any subject across the social sciences; - Practical guide: case studies, further reading, key terms explained in order to help the non-mathematically orientated student get ahead with their research. Building on undergraduate statistical grounding, Understanding and Using Advanced Statistics provides the upper-level researcher with the knowledge of what advanced statistics do, how they should be used, and what their output means.
A new edition of this practical guide for clinicians who are developing tools to measure subjective states, attitudes, or non-tangible outcomes in their patients, suitable for those who have no knowledge of statistics.
Almost every day it seems a new study is published that shows you are at risk for diabetes, cardiovascular disease, or death due to something you’ve just eaten for lunch. Many of us no longer know what to eat or who to believe. In Nutrition in Crisis distinguished biochemist Richard Feinman, PhD, cuts through the noise, explaining the intricacies of nutrition and human metabolism in accessible terms. He lays out the tools you need to navigate the current confusion in medical literature and its increasingly bizarre reflection in the media. At the same time, Nutrition in Crisis offers an unsparing critique of the nutritional establishment, which continues to demonize fat and refute the benefits of low-carbohydrate and ketogenic diets—all despite decades of evidence to the contrary. Feinman tells the story of the first low-carbohydrate revolution fifteen years ago, how it began, what killed it, and why a second revolution is now reaching a fever pitch. He exposes the backhanded tactics of a regressive nutritional establishment that ignores good data and common sense, and highlights the innovative work of those researchers who have broken rank. Entertaining, informative, and irreverent, Feinman paints a broad picture of the nutrition world: the beauty of the underlying biochemistry; the embarrassing failures of the medical establishment; the preeminence of low-carbohydrate diets for weight loss, diabetes, other metabolic diseases, and even cancer; and what’s wrong with the constant reports that the foods we’ve been eating for centuries represent a threat rather than a source of pleasure.
The ABCs of Evaluation, second Edition The second edition of the bestselling The ABCs of Evaluation offers a thoroughly revised and updated version of that classic book. Written for any program type or setting, The ABCs of Evaluation shows how to select participants for the evaluation and how to deal with multiple goals and objectives—including those of the organization, the staff, and the client. The authors describe different evaluation models, illustrate the circumstances under which each model can be used, and offer tips on identifying data sources and collecting the data itself. This new edition is filled with illustrative new cases and scenarios from various evaluation realms in the social sciences, education, and human services. The book also contains information on how to negotiate the evaluation contract. Throughout the book there are charts, graphs, models, and lists to help organize, extend, and facilitate the understanding of each evaluation concept. Praise for the First Edition "I've been looking for this book for years! It is the definitive book on evaluation for adult education and human resource development practitioners." —Carroll A. Londoner, professor and core-coordinator, The Adult Education and HRD Program, School of Education, Virginia Commonwealth University "Will surely become each reader's foremost resource for instruction, guidance, and assurance during any foray into the intriguing and vital process of evaluation." —Beverly McMurtry Grissom, president, North Florida Community College, and past president, American Association for Adult and Continuing Education "The ABCs of Evaluation provided me with my own personal evaluation professor, illustrating how to design, conduct, demystify, and understand the evaluation process." —Marc Potish, senior coordinator for professional development, CREC Division of Staff Development, Technical Assistance, and Brokering Services
