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Zusatztext "Jewell's book can certainly be included in any group of useful books on statistics in epidemiology. It actually might be the one with which I would start."-Technometrics! February 2005! Vol. 47! No. 1 "This is a useful and thought-provoking book written by an expert in the field! providing a very valuable supplement to more introductory texts as well as a guide to more advanced sources. "-Journal of the Royal Statistics Society "?It is a good companion text ? The numerous worked examples and references to further reading at the end of each chapter are very good ? I would find the book a useful reference for the teacher of statistical methods for epidemiology ?"-Statistics in Medicine! 2005 "Good points of the book are the exercises! comments and further reading at the end of each chapter! the availability of the data sets used ? and the extensive discussion of confounding ? this is a good! well-written piece of work."-Pharmaceutical Statistics! 2004 "This book is excellent; a real breakthrough in texts on statistics in epidemiology! especially in its attention to causation and bias." -Sander Greenland! Department of Epidemiology! UCLA"Using examples! this experienced statistician identifies scientific issues and clearly links them to statistical approaches. Statistical theory and formality are grounded in manageable yet realistic examples. Coverage includes the basics and important topics such as measurement error and causal analysis. The book has excellent references! an informative index and glossary."-ISI Short Book Reviews! August 2004 Informationen zum Autor Nicholas P. Jewell Klappentext This graduate textbook explains the collection and analysis of data that speak to relationships between the occurrence of diseases and various descriptive characteristics of individuals in a population. Zusammenfassung Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. This title develops the techniques for analyzing simple risk factors and disease data. It covers the logistic regression model and contrasts it with the Cox model for time-to-incidence data. Inhaltsverzeichnis Introduction. Measures of Disease Occurrence. The Role of Probability on Observational Studies. Measures of Disease-Exposure Association. Study Designs. Assessing Significance in a 2 x 2 Table. Estimation and Inference for Measures of Association. Causal Inference and Extraneous Factors: Confounding and Interaction. Control of Extraneous Factors. Interaction. Exposures at Several Discrete Levels. Regression Models Relating Exposure to Disease. Estimation of Logistic Regression Model Parameters. Confounding and Interaction Within Logistic Regression Mode. Epilogue - the Examples....
