Noteworthy advances have occurred in both the practice of medicine and biostatistical methods since the previous edition of this book was published. For example, physicians' acceptance of the importance of 'evidence-based medicine' is much more widespread now than it was in the mid-1990s. Even a casual reading of the current medical literature reveals that a basic grasp of statistical concepts and a passing appreciation for what statistical analysis can and cannot do is essential in order to understand and critically assess published reports concerning the frontiers of medical research. The fourth revised edition of this highly successful volume represents the most substantial revision of 'Using and Understanding Medical Statistics' since the first edition was published more than 20 years ago. The authors have added five entirely new chapters on Poisson regression, the analysis of variance, meta-analysis, diagnostic tests and the subject of measurement agreement and reliability. In addition, there are sections describing new topics or exploring new examples in the chapters on the Kaplan-Meier estimate, the log-rank test, longitudinal studies, data analysis, clinical trials and epidemiological applications. The end result is an excellent introduction to medical statistics, as well as a valuable reference concerning many of the more complex statistical methods and techniques currently appearing in medical publications.
The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.
Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. Showing you how to: analyse data with the help of data set examples (Click here to download datasets) select the correct statistics and report results for publication or presentation understand and critically appraise results reported in the literature Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.