1. An introduction 2. What is a population and what is population health? 3. What is an exposure, what is a disease, and how do we measure them? 4. What is a sample? 5. Watching a sample, counting cases 6. Are exposures associated with health indicators? 7. What is a cause? 8. Is the association causal, or are there alternative explanations? 9. How do non-causal associations arise? 10. How can we mitigate against non-causal associations in design and analysis? 11. When do causes work together? 12. Do the results matter beyond the study sample? 13. How do we identify disease early to minimize its consequences? 14. Conclusion: Epidemiology and what matters most
Katherine M. Keyes, PhD, is Assistant Professor of Epidemiology at Columbia University. Her research focuses on life course epidemiology with particular attention to psychiatric disorders, including cross-generational cohort effects on substance use, mental health, and chronic disease. She has particular expertise in the development and application of novel epidemiological methods, and in the development of epidemiological theory to measure and elucidate the drivers of population health. Sandro Galea, MD, DrPH, is Chair of the Department of Epidemiology at Columbia University. His work focuses on the social production of health of urban populations, innovative cells-to-society approaches to population health, and advancing a consequentialist approach to epidemiology in the service of population health. He is a past president of the Society for Epidemiologic Research and an elected member of the Institute of Medicine of the National Academies of Science.
"An excellent overview of the uses of epidemiological methods to investigate the causal pathway to disease. The step-by-step approach to epidemiology methods is a unique contribution. Epidemiology remains the key to successful prevention of disease." --Lewis Kuller, MD, DrPH, Professor of Epidemiology, University of Pittsburgh Graduate School of Public Health "A clear introduction to central epidemiologic concepts using a step-by-step approach. This book will be useful to students who take only one course in epidemiology, as well as to scholars who decide to pursue epidemiology in more depth." -- American Journal of Epidemiology "This is a unique addition to the ever-expanding library of introductory epidemiology books. The material is easily accessible to beginners, and the consequentialist approach breathes new life into the field. Weighted Numerical Score: 100 - 5 Stars!" --Doody's Health Sciences Review