Statistics for Health Care Professionals is an accessible guide to understanding statistics within health care practice. Focusing on quantitative approaches to investigating problems, the book introduces the basic rules and principles of statistics. Challenging the notion that statistics are often incomprehensible and complex to use, the authors begin by presenting a `how to' section explaining how specific statistical tests can be performed. They also help readers to understand the language of statistics, which is often a stumbling block for those coming to the subject for the first time. The reader is taught how to calculate statistics by hand as well as being introduced to computer packages to make life easier, and then how to analyse these results. As the results of health care research are so integral to decision-making and developing new practice within the profession, the book encourages the reader to think critically about data analysis and research design, and how these can impact upon evidence based practice. This critical stance is also crucial in the assessment of the many reports and documents issued within the health industry. Statistics for Health Care Professionals includes practical examples of statistical techniques throughout, and the exercises within and at the end of each chapter help readers to learn and to develop proficiency. There is also a glossary at the end of the book for quick and easy referencing. This book is essential reading for those coming to statistics for the first time within a health care setting.
′This is a really good text which will support students through their dissertation proposal and project.
This concise text introduces basic concepts that underpin medical statistics and, using everyday clinical examples, highlights the importance of statistical principles to understanding and implementing research findings in routine clinical ...
The purpose of this book is to provide members of medical and other professions, including scientists and engineers, with a basic understanding of statistics and probability together with an explanation and worked examples of the techniques ...
Assists nursing and health professionals in gaining a basic understanding of statistics. Appropriate for self-study or course use, this pratical text trains the student to become a better consumer of...
This book not only helps students develop the necessary data analysis skills, but it also boosts familiarity with important software that employers will be looking for.
New in this edition: Measuring survival: Kaplan-Meier survival curves; comparingsurvival in two or more groups.Hazard ratios and the Cox regressionmodel. Systematic review: methods and problems; combining results -meta-analytic methods.
MacKnight C, Rockwood K, Awalt E, McDowell I. Diabetes mellitus and the risk of dementia, Alzheimer's disease and vascular cognitive impairment in the Canadian study of health and aging. Dement Geriatr Cogn Disord 2002;14:77–83.
Just as with the t-test, before we apply the f-test, we must first establish whether the variances of the test variable can be ... For the t-test, we used Levene's variance-ratio test; here we use Bartlett's equality of variance test, ...
Making no assumptions about one’s existing knowledge, the text develops in complexity as the material and concepts become more familiar, allowing readers to build the confidence and skills to apply various formula and techniques to their ...
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 ...