Literature DB >> 4076084

Point process models in asthma attacks for assessing environmental risk factors.

T Kamakura, T Yanagimoto.   

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.

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Year:  1985        PMID: 4076084      PMCID: PMC1568480          DOI: 10.1289/ehp.8563203

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  6 in total

1.  Covariance analysis of censored survival data.

Authors:  N Breslow
Journal:  Biometrics       Date:  1974-03       Impact factor: 2.571

2.  Methods for analyzing panel studies of acute health effects of air pollution.

Authors:  E L Korn; A S Whittemore
Journal:  Biometrics       Date:  1979-12       Impact factor: 2.571

3.  [Methods for analysing acute effects of air pollutants and weather conditions on childhood asthma].

Authors:  N Watanabe; R Yoshida; T Yanagimoto
Journal:  Arerugi       Date:  1984-10

4.  Influence of aerobiology and weather on symptoms in children with asthma.

Authors:  A Klabuschnigg; M Götz; F Horak; S Jäger; A Machalek; C Popow; F Haschke; R Skoda-Türk
Journal:  Respiration       Date:  1981       Impact factor: 3.580

5.  Air pollution and respiratory disease.

Authors:  A S Whittemore
Journal:  Annu Rev Public Health       Date:  1981       Impact factor: 21.981

6.  Relation between positive small air ions, weather fronts and pulmonary function in patients with bronchial asthma.

Authors:  C J Wagner; R E Danziger; H S Nelson
Journal:  Ann Allergy       Date:  1983-10
  6 in total
  1 in total

1.  Empirical Bayes methods for smoothing data and for simultaneous estimation of many parameters.

Authors:  T Yanagimoto; N Kashiwagi
Journal:  Environ Health Perspect       Date:  1990-07       Impact factor: 9.031

  1 in total

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