A brief review is given of data analysis methods for the identification and quantification of associations between environmental exposures and health events of interest. Data analysis methods are outlined for each of the study designs mentioned, with an emphasis on topics in need of further research. Particularly noted are the need for improved methods for accommodating exposure assessment meas...

This paper discusses the principles of study design and related methodologic issues in environmental epidemiology. Emphasis is given to studies aimed at evaluating causal hypotheses regarding exposures to suspected health hazards. Following background sections on the quantitative objectives and methods of population-based research, we present the major types of observational designs used in env...

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    Molecular epidemiology is a subdivision of medical science and epidemiology that emphases on the involvement of potential environmental and genetic risk factors, recognized at the molecular level, to the etiology and avoidance of sickness through populations. This arena has developed from the combination of molecular biology and traditional epidemiological research. Molecular...

Inferring causality is necessary to achieve the goal of epidemiology, which is to elucidate the cause of disease. Causal inference is conducted in three steps: evaluation of validity of the study, inference of general causality, and inference of individual causality. To evaluate validity of the study, we propose a checklist that focuses on biases and generalizability. For general causal inferen...

There are many areas of life we don’t fully understand: how do babies learn to speak? Why do we sometimes laugh while reading? Why did Peter Sellers never receive an Oscar? Making the connections is not always easy. In a similar way, seasoned respiratory experts often say there are two types of respiratory research that are intrinsically difficult: anything related to tobacco, and environmental...