Methods for analyzing panel studies of acute health effects of air pollution.
New methods are presented for analyzing repeated binary health measurements of individuals exposed to varying levels of air pollution. The methods involve a separate logistic regression of response against environmental covariates for each individual. Parameters reflecting individual susceptibility to pollutants and weather are estimated using Cox's regression techniques (1970, 1972a). The individual parameters are combined to yield summary estimates of environmental effects. The approach does not require independence of successive health measurements. It is illustrated with data on asthma and air pollution in the Los Angeles area.
D000393:Air Pollutants / Q000009:adverse effects*; D001249:Asthma / Q000139:chemically induced; D002140:California; D006801:Humans; D006813:Humidity; D008390:Markov Chains; D012044:Regression Analysis; D013223:Statistics as Topic; D013696:Temperature; D013997:Time Factors
D000393:Air Pollutants