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Editorial

. 2010 Aug 26:7:7.

doi: 10.1186/1742-5573-7-7.

Author's response to Poole, C. Commentary: How Many Are Affected? A Real Limit of Epidemiology

Nicolle M Gatto¹, Ulka B Campbell, Sharon Schwartz

Affiliations

PMID: 20796296
PMCID: PMC2939526
DOI: 10.1186/1742-5573-7-7

Editorial

Author's response to Poole, C. Commentary: How Many Are Affected? A Real Limit of Epidemiology

Nicolle M Gatto et al. Epidemiol Perspect Innov. 2010.

. 2010 Aug 26:7:7.

doi: 10.1186/1742-5573-7-7.

Authors

Nicolle M Gatto¹, Ulka B Campbell, Sharon Schwartz

Affiliation

¹ Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032 USA. nicolle.gatto@pfizer.com.

PMID: 20796296
PMCID: PMC2939526
DOI: 10.1186/1742-5573-7-7

No abstract available

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References

1. Poole C. Commentary: How Many Are Affected? A Real Limit of Epidemiology. Epidemiol Perspect Innov. 2010;7(1):6. doi: 10.1186/1742-5573-7-6. - DOI - PMC - PubMed
1. Gatto NM, Campbell UB. Redundant causation from a sufficient cause perspective. Epidemiol Perspect Innov. 2010;7:5. doi: 10.1186/1742-5573-7-5. - DOI - PMC - PubMed
1. Beyea J, Greenland S. The importance of specifying the underlying biologic model in estimating the probability of causation. Health Phys. 1999;76:269–74. doi: 10.1097/00004032-199903000-00008. - DOI - PubMed
1. Greenland S. Relation of probability of causation to relative risk and doubling dose: a methodologic error that has become a social problem. Am J Public Health. 1999;89:1166–9. doi: 10.2105/AJPH.89.8.1166. - DOI - PMC - PubMed
1. Greenland S, Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol. 1988;128:1185–97. - PubMed

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