Abstract
Point process models are reviewed and discussed for assessing the effects of environmental risk factors on asthma attacks. It is pointed out that the logit model and proportional intensity model are useful for analyzing the data based on the diaries recorded consecutively during several months or during a few years. Some covariates that seems to influence upon asthmatics are explored using these models. Further work on estimating the smoothed base-line intensity function is briefly discussed in terms of the Bayes model.
Full text
PDF







Selected References
These references are in PubMed. This may not be the complete list of references from this article.
- Breslow N. Covariance analysis of censored survival data. Biometrics. 1974 Mar;30(1):89–99. [PubMed] [Google Scholar]
- Klabuschnigg A., Götz M., Horak F., Jäger S., Machalek A., Popow C., Haschke F., Skoda-Türk R. Influence of aerobiology and weather on symptoms in children with asthma. Respiration. 1981;42(1):52–60. doi: 10.1159/000194403. [DOI] [PubMed] [Google Scholar]
- Korn E. L., Whittemore A. S. Methods for analyzing panel studies of acute health effects of air pollution. Biometrics. 1979 Dec;35(4):795–802. [PubMed] [Google Scholar]
- Wagner C. J., Danziger R. E., Nelson H. S. Relation between positive small air ions, weather fronts and pulmonary function in patients with bronchial asthma. Ann Allergy. 1983 Oct;51(4):430–435. [PubMed] [Google Scholar]
- Watanabe N., Yoshida R., Yanagimoto T. [Methods for analysing acute effects of air pollutants and weather conditions on childhood asthma]. Arerugi. 1984 Oct;33(10):868–878. [PubMed] [Google Scholar]
- Whittemore A. S. Air pollution and respiratory disease. Annu Rev Public Health. 1981;2:397–429. doi: 10.1146/annurev.pu.02.050181.002145. [DOI] [PubMed] [Google Scholar]
