A systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.
A systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.
Dr. Thomas is Professor of Preventive Medicine, Director of the Biostatistics Division, and Verna R. Richter Chair in Cancer Research at the University of Southern California Keck School of Medicine. He received his undergraduate degree from Haverford College, an M.S. in Mathematics from Stanford University, and a Ph.D. in Epidemiology and Biostatistics from McGill University in 1976. His primary research interest has been in the development of statistical methods in epidemiology, both environmental and genetic. He was a member of President Clinton's Advisory Committee on Human Radiation Experiments, as well as the National Academy of Sciences Committee on the Biological Effects of Ionizing Radiation (BEIR V), and radiation advisory committees for other governmental agencies. Dr. Thomas has many publications in statistical genetics, including the textbook Statistical Methods in Genetic Epidemiology (OUP, 2004), and is a past President of the International Genetic Epidiology Society.
Inhaltsangabe
Preface 1: A Tale of Two Exposures: Ionizing Radiation and Air Pollution 2: Basic Epidemiologc Studies 3: Basic Statistical Methods 4: Multivariate Models 5: Some Special Purpose Designs 6: Modeling Exposure-Time-Response Relationships 7: Longitudinal Models 8: Time Series Models for Acute Effects 9: Spatial Models 10: Ecologic Interference 11: Measurement Error and Exposure Models 12: Multiple Risk Factors and Interactions 13: Mechanistic Models 14: Intervention Studies 15: Risk Assessment 16: Probability of Causation and Compensation 17: Further Challenges References Index
Preface 1: A Tale of Two Exposures: Ionizing Radiation and Air Pollution 2: Basic Epidemiologc Studies 3: Basic Statistical Methods 4: Multivariate Models 5: Some Special Purpose Designs 6: Modeling Exposure-Time-Response Relationships 7: Longitudinal Models 8: Time Series Models for Acute Effects 9: Spatial Models 10: Ecologic Interference 11: Measurement Error and Exposure Models 12: Multiple Risk Factors and Interactions 13: Mechanistic Models 14: Intervention Studies 15: Risk Assessment 16: Probability of Causation and Compensation 17: Further Challenges References Index
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