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Statistics is a subject that benefits many other disciplines in its application and has contributed tremendously to the advancement of medicine. In recognition of the central role of statistics in the health fields, certification agencies have incorporated this science into their requirements for knowledge acquisition by their members. This recognition is also reflected in the board exams, particularly those taken for clinical board specialty certification tests. This book reinforces statistical principles for those who have taken a course in the subject during their years of education. It provides many examples and exercises to allow the reader to review the material discussed. Its concise presentation and the repetition of ideas throughout the text help solidify the reader’s learning and retention of knowledge of the various topics presented.
This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique.
Intended to help health professionals use and interpret statistics without a lot of calculation. Shows how to select the proper statistical method for a particular type of analysis, apply the method selected, and interpret the statistical results. Contains information needed for critical evaluation of published medical and health care research and analysis of one's own experimental results, including coverage of probability theory, samples and sample distributions, hypothesis testing, analyses of variance and frequency, nonparametric methods, and correlation and regression.
Correctly understanding and using medical statistics is a key skill for all medical students and health professionals. In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the level of mathematics to a minimum, it clearly illustrates statistical concepts and practice with numerous real-world examples and cases drawn from current medical literature. Medical Statistics from Scratch is an ideal learning partner for all medical students and health professionals needing an accessible introduction, or a friendly refresher, to the fundamentals of medical statistics.
A hands-on guide to using statistics in health research, from planning, through analysis, and on to reporting A Practical Approach to Using Statistics in Health Research offers an easy to use, step-by-step guide for using statistics in health research. The authors use their experience of statistics and health research to explain how statistics fit in to all stages of the research process. They explain how to determine necessary sample sizes, interpret whether there are statistically significant difference in outcomes between groups, and use measured effect sizes to decide whether any changes are large enough to be relevant to professional practice. The text walks you through how to identify the main outcome measure for your study and the factor which you think may influence that outcome and then determine what type of data will be used to record both of these. It then describes how this information is used to select the most appropriate methods to report and analyze your data. A step-by-step guide on how to use a range of common statistical procedures are then presented in separate chapters. To help you make sure that you are using statistics robustly, the authors also explore topics such as multiple testing and how to check whether measured data follows a normal distribution. Videos showing how to use computer packages to carry out all the various methods mentioned in the book are available on our companion web site. This book: • Covers statistical aspects of all the stages of health research from planning to final reporting • Explains how to report statistical planning, how analyses were performed, and the results and conclusion • Puts the spotlight on consideration of clinical significance and not just statistical significance • Explains the importance of reporting 95% confidence intervals for effect size • Includes a systematic guide for selection of statistical tests and uses example data sets and videos to help you understand exactly how to use statistics Written as an introductory guide to statistics for healthcare professionals, students and lecturers in the fields of pharmacy, nursing, medicine, dentistry, physiotherapy, and occupational therapy, A Practical Approach to Using Statistics in Health Research:From Planning to Reporting is a handy reference that focuses on the application of statistical methods within the health research context.
Statistical Methods in Healthcare In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development. Offers a broad coverage of standards and established methods through leading edge techniques. Uses an integrated case study based approach, with focus on applications. Looks at the use of analytical and monitoring schemes to evaluate therapeutic performance. Features the application of modern quality management systems to clinical practice, and to pharmaceutical development and production processes. Addresses the use of modern statistical methods such as Adaptive Design, Seamless Design, Data Mining, Bayesian networks and Bootstrapping that can be applied to support the challenging new vision. Practitioners in healthcare-related professions, ranging from clinical trials to care delivery to medical device design, as well as statistical researchers in the field, will benefit from this book.
This work explains the purpose of statistical methods in medical studies and analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in "The New England Journal of Medicine". It clarifies fundamental concepts of statistical design and analysis, and facilitates the understanding of research results.
Health and Numbers Basic Biostatistical Methods Chap T. Le and James R. Boen Today, all professionals and students in medical and allied health fields need a working knowledge of the methods for statistical analysis. Unfortunately, the dry language and complex formulas of most statistics texts can be intimidating for those who are not mathematical specialists. Health and Numbers attempts to rectify that dilemma by providing a practical introduction to the statistical methods used in medical and health care settings. Unlike other texts, this book features a lively, user-friendly style that makes the material accessible to all readers—regardless of inexperience with biostatistics, or even acute "math phobia." Additionally, every principle discussed in the text is illustrated with concrete examples that vividly demonstrate how the principle operates and how it applies to everyday health care issues. This book provides practical, nontechnical explanations of such essential concepts as: Proportions, rates, and ratios Continuous measurements Probability and probability models Confidence estimation Hypothesis testing Data plots and diagrams Health and Numbers: Basic Biostatistical Methods is an ideal introduction to this field for anyone involved in the medical support or allied health fields. Students in such areas as nursing, pharmacy, or public health education will find this book a most welcome alternative to oppressively complex, math-oriented texts. Cover Design/Illustration: Bob Pennise
This textbook is intended for everyone involved in the medical profession and all others concerned with medical data. The material covered includes all the statistical work that would be required for a course in medicine.
Focusing on the statistical methods most frequently used in the health care literature and featuring numerous charts, graphs, and up-to-date examples from the literature, this text provides a thorough foundation for the statistics portion of nursing and all health care research courses. All Fifth Edition chapters include new examples and new computer printouts using the latest software, SPSS for Windows, Version 12. New material on regression diagnostics has been added.