Epidemiological studies of community populations are highly relevant to the process of setting national ambient air quality primary standards, as criteria for those standards are the protection of human populations against adverse effects on health. Nevertheless, because of the difficulties of performing adequate community population studies of a quality commensurate with the needs of standard setting, the use of data derived from studies is problematic. This paper addresses the important issues of appropriate exposure assessment and health assessment, and discusses the problems of multiplex variables and colinearity as they are critical in assessments of exposure-effect relationships. It is concluded that a major problem in the use of data from such studies for standard setting is not necessarily one of scientific reliability or validity, but arises from the attempt of translating adequate science into policy decisions.A major stumbling block in the acceptance of data from human population studies for determining scientifically reasonable air quality standards is that conducting very good studies of this type is very difficult. Publications by Holland et al.(1) are representative of the doubts, disagreements and confusion associated with such studies. Furthermore, the question has become so politicized that Congressional committee reports, such as the Brown Committee report on the EPA Community (CHESS) studies (2) have major impacts on how one views the data from such studies. Nevertheless, the task of clarifying how such studies can be used is important and worth pursuing, as these data are the most pertinent for setting standards based on adverse effects on health in human populations.Several attempts have been made to establish criteria by which epidemiological studies can be evaluated (3-5), and several major reviews ment and opposition in the epidemiological community. What are the problems of such studies that have led to this potential impasse and how does one resolve these problems? These discussions represent the plan of this paper.Basically, there are three methodological problems: those related to the measures of exposure, the measures of effect, and the use of covariables and confounding variables. These are all important in the attempt to obtain estimates of exposure-response relationships. These problems will differ in geographical (spatial), temporal, and temporal-spatial studies. They will differ in studies of episodic and nonepisodic acute effects and chronic effects. They will differ in retrospective (that is, outcome-to-exposure) and prospective (that is exposure-to-outcome) studies.There is substantial agreement as to problems related to exposure measurements and their accuracy and relevance for individuals studied. Exposure to pollutants may not be sufficient or accurate in population studies. It is even possible that the correct pollutants are not even being measured. The number of studies needed to investigate interactions between pollutants increases rapidly with the number of pollutan...