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.
Clearly - and often humorously - written, PDQ Public Health defines public health and covers the basic concepts of public health policy, including its history, local to international structure, and role in protecting human health. Concise, yet comprehensive, PDQ Public Health educates the reader in the history and evolution of the concepts and practices of public health on local, national, and international scales. Key concepts, such as communicable diseases, vectors, hosts, and environments, are defined; and how they and other factors interact to influence public health issues is described. The statistical tools that are used to determine risk and describe the interactions contributing to community health are presented. The authors also address the impact of population mobility, economic factors, government (law), and ethics, on the practice of public health. This is all done in an engaging style that aids the reader's comprehension of this complex subject.
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.
Comprehensive in its coverage and suitable for graduate or upper-division undergraduate students in a wide range of health-related disciplines, this latest offering by William A. Oleckno is a full-scale, pedagogically rich introduction to fundamental ideas and procedures in epidemiology. The text covers the major concepts, principles, methods, and applications of both conventional and modern epidemiology using clear language and frequent examples to illustrate important points and facilitate understanding. While Oleckno provides thorough treatment of the more customary aspects of conventional and modern epidemiology, he also introduces several important design and analytical issues that are only rarely approached in fundamental epidemiology textbooks. Concepts as diverse as competing risks, maturation, futility, and the prevalence and bias effects in the context of screening are just a few examples of the broad range of concepts covered in this text. A comprehensive glossary contains detailed definitions of over 700 terms used throughout the 14 chapters comprising the textbook. Aspiring public health professionals will appreciate the solid basis they gain from Epidemiology: Concepts and Methods and will want to keep a copy close by as a valuable reference throughout their careers.
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.
Inspired to write on this topic in reaction to mistakes he encountered in actual papers, David L. Streiner uses his trademark sense of humour and light-hearted style to explain complex statistical concepts in lucid, jargon-free language.
This comprehensive guide delivers informed hope along with effective tools for reclaiming your vitality in the midst of cancer treatment, healing, and recovery. When you or a loved one is faced with a cancer diagnosis, the need for accurate and trusted medical information becomes urgent. Naturopathic physician Lise N. Alschuler and medical journalist Karolyn A. Gazella present an overview of what cancer is, its causes and preventative strategies, an in-depth approach to integrative treatment options, descriptions of key body functions, and discussions of more than twenty specific cancers. The Definitive Guide to Cancer, now in its third edition, encourages you to take an integrative approach that embraces both alternative and conventional therapies across the spectrum of cancer prevention, treatment, and healing.
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.
To request a free 30-day online trial to this product, visit www.sagepub.com/freetrial Research design can be daunting for all types of researchers. At its heart it might be described as a formalized approach toward problem solving, thinking, and acquiring knowledge—the success of which depends upon clearly defined objectives and appropriate choice of statistical tools, tests, and analysis to meet a project′s objectives. Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. Key Features Covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research Addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences Provides summaries of advantages and disadvantages of often-used strategies Uses hundreds of sample tables, figures, and equations based on real-life cases Key Themes Descriptive Statistics Distributions Graphical Displays of Data Hypothesis Testing Important Publications Inferential Statistics Item Response Theory Mathematical Concepts Measurement Concepts Organizations Publishing Qualitative Research Reliability of Scores Research Design Concepts Research Designs Research Ethics Research Process Research Validity Issues Sampling Scaling Software Applications Statistical Assumptions Statistical Concepts Statistical Procedures Statistical Tests Theories, Laws, and Principles Types of Variables Validity of Scores The Encyclopedia of Research Design is the perfect instrument for new learners as well as experienced researchers to explore both the original and newest branches of the field.
