A Concise Guide to Medical Research
CRC Press (Verlag)
978-1-041-02195-7 (ISBN)
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In medical research, where treatments for illness and disease are developed for the human population, a variety of genetic backgrounds, diets and lifestyles often limit the ability of researchers to control extraneous sources of variation and clearly observe treatment effects. Probability based statistical models are often used to control for these secondary variables after the experiment has ended.
The chapters of this book provide guidance in many aspects in the process of doing medical research. From defining a useful idea and developing a proof-of-concept pilot study, to formally testing a new treatment, this book provides an overview of how to develop and carry out a basic research project, analyze and report the data. Throughout, the importance of planning, support structure and research ethics is emphasized and several basic examples are used to motivate the discussion.
Key Features:
-Easy to read with examples.
-Easy to understand.
-Provides a simple outline that can be followed in many practical settings.
-Provides a simple guide to basic statistics useful in medicine.
-Provides a pathway into medical research.
Dr. Michael Brimacombe is a biostatistician, author and medical researcher who has published over 115 articles in peer-reviewed journals. He has taught many undergraduate and graduate courses in statistics, biostatistics and computational statistics at several U.S. academic institutions. He has been Director of an NIH funded Data Management and Biostatistics Core and Director of a CDC funded FAS Educational Center. He is currently Senior Advisory Biostatistician at CT Children’s and Associate Professor at the University of Connecticut Medical School. He is a previously published author with Taylor and Francis (Brimacombe M. (2019). Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics. CRC Press, New York).
Author Preface and Overview of Book Teaching, Learning and Using This Book 1. Defining Medical Research Ideas and Goals 2. Sample Case Study 3. Ethics in Medical Research 4. Finding Pilot Data and Initial Support 5. Building the Study Design Protocol and Initial Statistical Questions 6. Administrative Issues: IRB, FDA, HIPAA and Consent Guidelines 7. Qualitative and Quantitative Aspects of Research 8. Basic Data Analysis, Graphics and Data-Based Summaries 9. Basic Probability Concepts 10. Introduction to Sampling Distributions for Statistical Inference 11. Basic Statistical Estimation and Hypothesis Testing 12. Using Electronic Databases in Research 13. Basic Epidemiology, Association and Contingency Tables 14. Linear Models as a Basic Tool: Linear and Binary Regression 15. An Introduction to Machine Learning and A.I. Methods 16. Basic Time to Event Data Analysis 17. Recent Topics for Consideration 18. Conclusions
| Erscheint lt. Verlag | 1.7.2026 |
|---|---|
| Zusatzinfo | 25 Tables, black and white; 7 Line drawings, color; 23 Line drawings, black and white; 7 Illustrations, color; 23 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 453 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| ISBN-10 | 1-041-02195-X / 104102195X |
| ISBN-13 | 978-1-041-02195-7 / 9781041021957 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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