Douglas Badenoch - Böcker

Diagnostic Tests Toolkit Diagnostic Tests Toolkit Finding the evidence for diagnostic tests Establishing an evidence-based methodology to assess the effectiveness of diagnostic tests has posed problems for many years. Now that the framework is in place health professionals can find and appraise the evidence for themselves. With Diagnostic Tests Toolkit clinicians and junior researchers can interpret the evidence for the effectiveness of different types of diagnostic tests, or develop their own research using the successful ‘step-by-step’ format of the Toolkit series. Written by renowned clinical researchers, this is the first basic guide to evidence-based diagnosis. It is equally valuable to starters in clinical research and those needing a quick refresher on the core elements of evidence-based diagnosis.

This bestselling pocket guide to the skills of evidence-based medicine succeeds in demystifying the terminology and processes in a handy and easy-to-follow format, all within the space of 100 pages. With an improved layout, this second edition of Evidence-based Medicine Toolkit offers more up-to-date guidance as well as new sections on important areas of research. New features of this second edition include: A box for each major database showing how to search the evidence, and highlighting the differences between them Flow charts for different study types New critical appraisal sections on qualitative research and economic evaluation Expanded list of EBM resources on the net. With these added features to make the job easier, the new Toolkit is now an even better companion for all health care professionals using evidence-based methodology in their research and practice.

This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Following the successful format of the Toolkit series, Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner.Sections include: Clear explanation of basic concepts in the context of clinical research Demonstration of how data are described, displayed and interpreted in different formats Practical glossary and key to the symbols used in statistics and a discussion of the software tools The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.