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Summary
Summary
Providing easy-to-access information, this unique sourcebook covers the wide range of topics that a researcher must be familiar with in order to become a successful experimental scientist. Perfect for aspiring as well as practicing professionals in the medical and biological sciences it discusses a broad range of topics that are common, yet not traditionally considered part of formal curricula. The information presented also facilitates communication across conventional disciplinary boundaries, in line with the increasingly multidisciplinary nature of modern research projects.
Author Notes
Professor, PhD Petter Laake has since 1989 been a staff member of the Institute of Basic Medical Sciences, Department of Biostatistics, University of Oslo. He has 20 years of experience in lecturing, communicating and advising in statistics, at all levels and for various target groups. Since 2001, he has worked with the postgraduate studies programme at the Faculty of Medicine, University of Oslo, and has been in charge of the mandatory basic course in research methods. He has written and edited several text books in research methodology and statistics.
Professor, MD Haakon Breien Benestad has since 1968 been a staff member of the Institute of Basic Medical Sciences, Department of Physiology, University of Oslo. He has lectured students of medicine, odontology, nutrition and physiotherapy and has been an advisor for master and postgraduate students. He has held various basic courses for postgraduate students, compiled compendia for these courses and written a textbook of anatomy, physiology and immunology for social and health studies in upper secondary schools.
Professor, MD, Bjorn Reino Olsen is Hersey Professor of Cell Biology at Harvard Medical School and Professor of Developmental Biology, Harvard School of Dental Medicine. Since 2005, he also serves as Dean of Research at Harvard School of Dental Medicine. He has lectured worldwide and mentored and trained a large number of students and postdoctoral fellows. He is a member of and has held leadership positions in several professional organizations, has served on several Editorial Boards, and is currently Editor-in-Chief of Matrix Biology and BioMed Central's Journal of Negative Results in Biomedicine.
Table of Contents
Preface | p. xi |
Contributors | p. xv |
List of abbreviations and symbols | p. xxiii |
Chapter 1 Philosophy of Science | p. 1 |
1.1 Philosophy of the natural sciences | p. 1 |
1.2 Philosophy of the social sciences | p. 24 |
Chapter 2 Ethics and Scientific Conduct | p. 33 |
2.1 A brief introduction to ethics | p. 33 |
2.2 Scientific conduct and misconduct | p. 36 |
2.3 Misconduct and why it occurs | p. 38 |
2.4 Fabrication and other forms of misconduct affecting the truth claims of scientific findings | p. 40 |
2.5 Authorship issues | p. 43 |
2.6 Salami, imalas and duplicate publication | p. 46 |
2.7 The investigation and punishment of scientific misconduct | p. 47 |
Appendix 1 p. 50 | |
Chapter 3 Ethics in Human and Animal Studies | p. 53 |
3.1 Introduction | p. 53 |
3.2 Basic principles of human research ethics | p. 54 |
3.3 International regulation | p. 56 |
3.4 The ethics of animal research | p. 70 |
Appendix 1 World (Medical Association Declaration of Helsinki Ethical Principles for Medical Research Involving Human Subjects | p. 74 |
Appendix 2 Oviedo Convention (Council of Europe, European Treaty Series 164) | p. 80 |
Appendix 3 Oviedo Convention-Additional Protocol Concerning Biomedical Research, Chapter I-IX (Council of Europe, European Treaty Series 195) | p. 82 |
Chapter 4 Research Methodology: Strategies, Planning and Analysis | p. 93 |
4.1 Introduction | p. 93 |
4.2 Your scientific problem | p. 95 |
4.3 More on scientific problems | p. 97 |
4.4 Literature, methods and techniques | p. 97 |
4.5 Research conditions | p. 100 |
4.6 Data types | p. 103 |
4.7 Techniques | p. 105 |
4.8 Repeatability, reproducibility and reliability | p. 109 |
4.9 Validity, effect measure and choice of statistical test | p. 112 |
4.10 Experimental protocol | p. 116 |
4.11 Experimental routine | p. 122 |
Chapter 5 Literature Search and Personal Reference Databases | p. 125 |
5.1 Information literacy | p. 125 |
5.2 Systematic literature search | p. 127 |
5.3 How to formulate a query: PICO | p. 129 |
5.4 Search technique | p. 133 |
5.5 Methodology filters | p. 136 |
5.6 Quality: critical appraisal | p. 138 |
5.7 Impact factor | p. 140 |
5.8 Principal bibliographic databases | p. 145 |
5.9 Staying up to date | p. 150 |
5.10 Medical and scientific internet search engines | p. 154 |
5.11 Personal reference databases | p. 155 |
Chapter 6 Methods in Molecular Biology | p. 161 |
6.1 Introduction | p. 161 |
6.2 Recombinant DNA technology | p. 163 |
6.3 DNA and RNA: isolation, identification, synthesis and analysis | p. 168 |
6.4 Practical applications of DNA/RNA technology | p. 174 |
6.5 Protein analyses | p. 187 |
6.6 Bioinformatics | p. 195 |
Chapter 7 Strategies and Methods of Basic Medical Research | p. 199 |
7.1 Introduction | p. 199 |
7.2 Long-term goals and specific aims | p. 201 |
7.3 Background and significance | p. 205 |
7.4 Experimental strategies and methods | p. 207 |
7.5 Pilot studies | p. 207 |
7.6 Rules for basic medical research projects | p. 209 |
Chapter 8 Clinical Research | p. 213 |
8.1 Controlled clinical trials | p. 213 |
8.2 Publication bias | p. 227 |
8.3 Estimating sample size | p. 227 |
8.4 'Non-inferiority' studies | p. 234 |
8.5 Generalization | p. 237 |
Chapter 9 Epidemiology: Concepts and Methods | p. 241 |
9.1 Introduction | p. 241 |
9.2 Definitions | p. 242 |
9.3 The role of epidemiology | p. 243 |
9.4 Population and sample | p. 245 |
9.5 Measures of disease occurrence, association, risk and implications | p. 246 |
9.6 Vital statistics | p. 251 |
9.7 Study designs of epidemiological studies | p. 254 |
9.8 Effect measures in epidemiological studies | p. 261 |
9.9 Experimental studies and randomized control trials | p. 268 |
9.10 Measurement error and sources of error | p. 268 |
9.11 Tests and validity | p. 271 |
9.12 Causes of disease | p. 275 |
9.13 Association versus causality | p. 278 |
Chapter 10 Qualitative Research | p. 281 |
10.1 Qualitative versus quantitative research | p. 281 |
10.2 Using qualitative research | p. 283 |
10.3 What qualitative research cannot be used for | p. 284 |
10.4 Samples in qualitative studies | p. 285 |
10.5 Reliability and validity | p. 286 |
10.6 Ethical challenges in qualitative research | p. 287 |
10.7 Qualitative data collection | p. 291 |
10.8 Triangulation | p. 301 |
10.9 Analyses of qualitative data | p. 303 |
10.10 Releasing qualitative data | p. 306 |
Chapter 11 Statistical Issues | p. 311 |
11.1 Introduction | p. 311 |
11.2 Effect measure, hypothesis testing and confidence interval | p. 312 |
11.3 Bernoulli trial | p. 315 |
11.4 Comparing two proportions | p. 318 |
11.5 Measures of association in 2 x 2 tables | p. 323 |
11.6 Normal distribution | p. 329 |
11.7 Comparison of means | p. 332 |
11.8 Non-parametric methods | p. 342 |
11.9 Regression analysis | p. 350 |
Chapter 12 Evidence-Based Practice and Critical Appraisal of Systematic Reviews | p. 365 |
12.1 Introduction | p. 365 |
12.2 Systematic reviews | p. 366 |
12.3 Critical appraisal of a systematic review: one example | p. 368 |
12.4 Summary | p. 380 |
Chapter 13 Scientific Communication | p. 383 |
13.1 Introduction | p. 383 |
13.2 The scientific paper | p. 383 |
13.3 Posters | p. 410 |
Chapter 14 Successful Lecturing | p. 415 |
14.1 Introduction | p. 415 |
14.2 Preparing the lecture | p. 416 |
14.3 Lecture content and form | p. 418 |
14.4 Manuscript | p. 424 |
14.5 Delivering a lecture | p. 427 |
Chapter 15 Guide to Grant Applications | p. 433 |
15.1 Introduction | p. 433 |
15.2 Getting started | p. 435 |
15.3 The postdoctoral fellow and junior scientist | p. 437 |
15.4 What goes into a successful grant application? | p. 443 |
15.5 The investigator-initiated research grant | p. 445 |
15.6 Multiproject grants | p. 448 |
15.7 International research collaborations | p. 451 |
15.8 The European Union's seventh Framework Programme | p. 454 |
15.9 Summary and perspective | p. 456 |
Index | p. 457 |