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E-grāmata: Data Handling and Analysis

3.67/5 (3 ratings by Goodreads)
(Consultant Clinical Scientist and Senior Lecturer in Medicine, University of Birmingham Centre for Cardiovascular Sciences, Department of Medicine, City Hospital, Birmingham)
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Data Handling and AnalysisPalielināt
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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.

Recenzijas

A gem of a find! For once it makes statistics understandable and it also clearly explains research and professional practice. Few books cover this range of topics. It is ideal for students completing research and also introduces student to good clinical practice. The statistical sections are very well explained indeed and simplify complicated concepts in a very readable manner. * Ruth Shiner, University of Wolverhampton * Provides clear explanations of basic statistical and experimental design concepts which are placed into a practical context that is highly relevant for BMS students * Lewis Bingle, University of Sunderland * An easy-to-read book that explains how to use a range of statistical tests that can be applied to data * Amreen Bashir, Aston University *

An introduction to the Fundamentals of Biomedical Science series vii
1 Information in biomedical science
1(16)
1.1 Introduction
1(1)
1.2 Types of information and how to describe them
2(1)
1.3 Quantitative data
3(8)
1.4 Qualitative information
11(6)
Chapter summary
15(1)
Suggested reading
16(1)
Questions
16(1)
2 Handling quantities: mass, volume, and concentration
17(17)
2.1 Units and quantities
18(3)
2.2 Quantities at the chemical scale
21(4)
2.3 Quantities in aqueous solution
25(3)
2.4 Buffets
28(3)
2.5 Chemistry and the practice of laboratory science
31(3)
Chapter summary
32(1)
Questions
33(1)
3 Obtaining and verifying data
34(20)
3.1 Error
34(2)
3.2 Assay performance
36(4)
3.3 Operator performance
40(3)
3.4 Clinical value of data
43(6)
3.5 Evaluating a new method
49(5)
Chapter summary
52(1)
Suggested reading
53(1)
Questions
53(1)
4 Presenting data in graphical form
54(17)
4.1 The distribution of data
54(3)
4.2 Scatterplots
57(4)
4.3 Histograms
61(1)
4.4 Pie charts
62(1)
4.5 Dot plots and box and whisker plots
63(1)
4.6 Line plot
64(1)
4.7 Presenting data as a graph
65(3)
4.8 Which type of visual presentation should I choose?
68(3)
Chapter summary
69(1)
Questions
70(1)
5 Quality, audit, and good laboratory practice
71(15)
5.1 Introduction
71(2)
5.2 Quality control and quality assurance
73(3)
5.3 Audit
76(3)
5.4 Types of audit
79(3)
5.5 Good laboratory practice (GLP)
82(4)
Chapter summary
83(1)
Suggested reading
83(1)
Useful websites
84(1)
Questions
85(1)
6 Research 1: Setting the scene
86(20)
6.1 The hypothesis
87(3)
6.2 Probability
90(4)
6.3 Research design: general concepts
94(2)
6.4 Clinical research
96(3)
6.5 Basic laboratory research
99(2)
6.6 What data do I need to collect and what do I do with it?
101(5)
Chapter summary
104(1)
Suggested reading
104(1)
Useful websites
105(1)
Questions
105(1)
7 Research 2: The analysis of modest data sets
106(49)
7.1 Verification of data
107(1)
7.2 The analysis of categorical data: two groups
108(2)
7.3 The analysis of categorical data: three or more groups
110(3)
7.4 Distribution of data with a continuous variation
113(6)
7.5 The analysis of continuously variable data; two groups
119(6)
7.6 The analysis of continuously variable data: three or more groups
125(14)
7.7 The analysis of paired data
139(7)
7.8 Con elation
146(9)
Chapter summary
151(2)
Suggested wading
153(1)
Useful websites
153(1)
Questions
153(2)
8 Research 3: Large data sets
155(36)
8.1 Linear regression analysis
156(12)
8.2 Logistic regression analysis
168(8)
8.3 Survival analysis
176(3)
8.4 Epidemiology
179(12)
Chapter summary
185(1)
Suggested reading
186(1)
Questions
186(5)
9 Communication
191(32)
9.1 Routine communication with colleagues
191(1)
9.2 Focused communication with colleagues
192(1)
9.3 Presentations outside the laboratory
193(6)
9.4 Writing for the laboratory
199(3)
9.5 Writing for external publication
202(21)
Chapter summary
221(1)
Suggested reading
221(1)
Useful websites
221(1)
Questions
221(2)
Answers to end-of-chapter Questions 223(4)
Answers to self-check Questions 227
Index 231
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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