1. Classical Epidemiology Designs 2. From Tables to Logistic Regression Models 3. Extensions to Classical Epidemiological Studies 4. Including Time: Cox Regression and Related 5. Estimates Available from Standard Designs 6. Estimates from Matched and Nested Designs 7. Reusing Case-Control Data 8. More Complex Designs 9. More Complex Data Structures 10. Other Controlled Epidemiological Studies
Biography
Marie Reilly obtained a PhD in Biostatistics from the University of Washington and has been a Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics at the Karolinska Institute, Stockholm since 2003. Much of her methodological work involved the development of methods for extending standard epidemiological designs and analysis to address problems arising in research studies using Swedish national registers. Applications spanned a wide range of research investigations in perinatal epidemiology, family studies, blood safety, transfusion studies and maternal screening. Her applied work has also involved engagement in a number of HIV studies in Africa, including randomized clinical trials of candidate HIV-vaccines in infants and adults.
At the Karolinska Institute, she was responsible for the design and delivery of biostatistics education to PhD students in epidemiology and to undergraduate medical students. This book began with these teaching materials and grew over several years with advanced courses, in Karolinska and overseas, on extended case-control designs and re-use of case-control data.
"The author has done a wonderful job of selecting the topics and the illustrative examples. The emphasis of the book is less on rigorous mathematical details and more on ideas and practical implementation.
This book will be suitable as a text for master’s and Ph.D. students in epidemiology and biostatistics. Researchers interested in learning more about design and analysis of epidemiological studies will find this book useful as well."
Kaushik Ghosh, University of Nevada, Las Vegas, U.S.A, Journal of the American Statistical Association, January 2024.
"Overall, this is a comprehensive book that gives a clear and unified view across many important epidemiological concepts and approaches. The clarity that Reilly has achieved on summarizing and unifying the scattered literature is admirable, and in this sense, the book is a fantastic source of essential information that had earlier been lurking all around in small pieces that were difficult to find."
Reijo Sund, University of Eastern Finland, Finland, International Statistical Review, June 2024.
