Use of doubly stochastic poisson processes in estimating health effects due to air pollution. [Effects of air pollution on incidence of acute respiratory diseases in New York City area]
Some questions associated with statistical inference of doubly stochastic Poisson processes are discussed. This general model appears to be of value in studying a number of problems in environmental health in which the factors which affect the rate at which certain diseases occur cannot be deterministically characterized. The model's applicability to a study of air pollution and incidence of acute respiratory diseases in the New York City area is examined.