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"Contents: Introduction to environmental epidemiology -- Basic elements of research, exposure, and outcome assessment -- Monitoring environmental health -- Epidemiology study designs -- Statistical modeling and inference -- Causal inference -- Disease clusters -- Mapping and geographic information systems -- Time series -- Indoor and ambient air quality and health -- Soil and food contaminants and health -- Water and health -- Radiation and health -- Climate change."

"Abstract:With a unique focus on research methods as applied to Epidemiology and Public Health Research, this text is unlike any others of its kind. Tailored for multiple purposes including learning about and being equipped to evaluate research studies, conducting thesis/dissertation/capstone projects, and publishing scientific results, this book covers the full breadth of epidemiologic study designs and topics (case, case-control, and cohort studies). Unlike other research methods texts, this book includes many practical exercises and case studies which help to easily guide the student through each step of the research process. Hands-on exercises, using appropriate software, are also included to give the student a thorough understanding of the tool sets available to public health practitioners."

"The thoroughly revised and updated Third Edition of Dr. Rothman's acclaimed Modern Epidemiology reflects the conceptual development of this evolving science and the engagement of epidemiologists with an increasing range of current public health concerns."Modern Epidemiology covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical reference, and causal diagrams. Topics in data analysis range from basic tabular analyses to stratified analysis, multiple comparisons, Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propensity scores and other scoring methods, and g-estimation"