DATA HANDLING & ANALYSIS 2E IBMS P - Blann

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Résumé :
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 has been 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.

Assuming only a minimum of prior knowledge, the series reviews the full range of disciplines to which a Biomedical Scientist may be exposed - from microbiology to cytopathology to transfusion science.

Data Handling and Analysis is the most relevant and useful statistics and data analysis text for biomedical science students. Providing a broad review of the quantitative skills needed to be an effective biomedical scientist, the text spans the collection, presentation, and analysis of data. It draws on relevant examples throughout, creating an ideal introduction to the subject for any student of biomedical science....

Biographie:
Dr Andrew Blann is Honorary Senior Lecturer in Medicine and Consultant Clinical Scientist in the University Department of Medicine, Sandwell and West Birmingham Hospitals NHS Trust and a visiting lecturer in the Department of Biomedical Science, University of Wolverhampton. A Deputy Chief Examiner in Haematology at the Institute of Biomedical Science, Andrew has edited several books, and is co-author of Haematology, part of the Fundamentals of Biomedical Science series.

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Sommaire:

• 1: Information in biomedical science


• 2: Handling quantities: mass, volume, and concentration


• 3: Obtaining and verifying data


• 4: Presenting data in graphical form


• 5: Quality, audit, and good laboratory practice


• 6: Research 1: Setting the scene


• 7: Research 2: The analysis of modest data sets


• 8: Research 3: Large data sets


• 9: Communication