Data Handling and Analysis

Biomedical scientists are the foundation of modern healthcare, from cancer screening to diagnosing HIV, from blood transfusion for surgery to food poisoning and infection control. Without biomedical scientists, the diagnosis of disease, the evaluation of the effectiveness of treatment, and research into the causes and cures of disease would not be possible. The Fundamentals of Biomedical Science series is written to reflect the challenges of practicing biomedical science today. It draws together essential basic science with insights into laboratory practice to show how an understanding of the biology of disease is coupled to the analytical approaches that lead to diagnosis. The series - Understands the complex roles of Biomedical Scientists in the modern practice of medicine - Understands the development needs of employers and the Profession - Addresses the need for understanding of a range of fundamental sciences in the context of Biomedicine - Places the theoretical aspects of Biomedical Science in their practical context The series is developed in partnership with and endorsed by the Institute of Biomedical Science. Visit www.ibms.org for more information. Data Handling and Analysis provides a broad review of the quantitative skills needed to be an effective biomedical scientist. Spanning the collection, presentation, and analysis of data - and drawing on relevant examples throughout - Data Handling and Analysis is the ideal introduction to the subject for any student of biomedical science. Online Resource Centre The Online Resource Centre to accompany Data Handling and Analysis features: For registered adopters of the book: - Figures from the book, available to download My first impressions were that the content was accessible, simplified and very readable and that the pedagogy of the text has been considered at length - this is a highly commendable feature. David Hulse, Keele University In terms of specificity and relevance of examples this book scores highly - and this issue of relevance really matters for students with data handling. Dr John Cartwright, University of Chester1. Information in biomedical science ; 2. Handling quantities: mass, volume and concentration ; 3. Obtaining and verifying data ; 4. Presentating data in graphical form ; 5. Audit, quality, and good laboratory practice ; 6. Research 1: Setting the scene ; 7. Research 2: The analysis of data Part 1 ; 8. Research 3: Large data sets ; 9. Communication