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
Biography
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).
