This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.
This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. The authors introduce the concept of likelihood at the outset, and develop the theory in a highly visual way, making use of a large number of diagrams. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.
This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. The authors introduce the concept of likelihood at the outset, and develop the theory in a highly visual way, making use of a large number of diagrams. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.