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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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Formato: | Texto |
Lenguaje: | English |
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2000
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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 |
collection | PubMed |
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. |
format | Text |
id | pubmed-1637881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2000 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT batesdv linesthatconnectassessingthecausalityinferenceinthecaseofparticulatepollution |