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Lines that connect: assessing the causality inference in the case of particulate pollution.

The question of when it would be appropriate to conclude that the associations between particulate pollution and various outcomes (including mortality) should be judged as causal in nature has been difficult and controversial. Although such a judgment must be subject to revision, the volume of new i...

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Detalles Bibliográficos
Autor principal: Bates, D V
Formato: Texto
Lenguaje:English
Publicado: 2000
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1637881/
https://www.ncbi.nlm.nih.gov/pubmed/10656846
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author Bates, D V
author_facet Bates, D V
author_sort Bates, D V
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description The question of when it would be appropriate to conclude that the associations between particulate pollution and various outcomes (including mortality) should be judged as causal in nature has been difficult and controversial. Although such a judgment must be subject to revision, the volume of new information and new experimental findings has been so great that such a reevaluation is required at frequent intervals. The useful summary by Gamble [PM(2. 5) and Mortality in Long-Term Prospective Cohort Studies: Cause-Effect or Statistical Associations? Environ Health Perspect 106:535-554 (1998)] of the reasons why a causal inference was, in his opinion, not justified provides a basis for reevaluation in the light of new data. Such a reexamination indicates that the associative evidence is now stronger and that the biologic basis for a number of adverse effects has now been demonstrated. All of the useful guideline criteria customarily applied to such questions seem to have been met, although there is still much to be learned about interactive effects and the possibility of statistical thresholds.
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spelling pubmed-16378812006-11-17 Lines that connect: assessing the causality inference in the case of particulate pollution. Bates, D V Environ Health Perspect Research Article The question of when it would be appropriate to conclude that the associations between particulate pollution and various outcomes (including mortality) should be judged as causal in nature has been difficult and controversial. Although such a judgment must be subject to revision, the volume of new information and new experimental findings has been so great that such a reevaluation is required at frequent intervals. The useful summary by Gamble [PM(2. 5) and Mortality in Long-Term Prospective Cohort Studies: Cause-Effect or Statistical Associations? Environ Health Perspect 106:535-554 (1998)] of the reasons why a causal inference was, in his opinion, not justified provides a basis for reevaluation in the light of new data. Such a reexamination indicates that the associative evidence is now stronger and that the biologic basis for a number of adverse effects has now been demonstrated. All of the useful guideline criteria customarily applied to such questions seem to have been met, although there is still much to be learned about interactive effects and the possibility of statistical thresholds. 2000-02 /pmc/articles/PMC1637881/ /pubmed/10656846 Text en
spellingShingle Research Article
Bates, D V
Lines that connect: assessing the causality inference in the case of particulate pollution.
title Lines that connect: assessing the causality inference in the case of particulate pollution.
title_full Lines that connect: assessing the causality inference in the case of particulate pollution.
title_fullStr Lines that connect: assessing the causality inference in the case of particulate pollution.
title_full_unstemmed Lines that connect: assessing the causality inference in the case of particulate pollution.
title_short Lines that connect: assessing the causality inference in the case of particulate pollution.
title_sort lines that connect: assessing the causality inference in the case of particulate pollution.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1637881/
https://www.ncbi.nlm.nih.gov/pubmed/10656846
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