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. 1992 Sep 26;305(6856):757-9.

doi: 10.1136/bmj.305.6856.757.

Confounding in epidemiological studies: why "independent" effects may not be all they seem

G D Smith¹, A N Phillips

Affiliations

PMID: 1298234
PMCID: PMC1883392
DOI: 10.1136/bmj.305.6856.757

Confounding in epidemiological studies: why "independent" effects may not be all they seem

G D Smith et al. BMJ. 1992.

. 1992 Sep 26;305(6856):757-9.

doi: 10.1136/bmj.305.6856.757.

Authors

G D Smith¹, A N Phillips

Affiliation

¹ Department of Public Health, University of Glasgow.

PMID: 1298234
PMCID: PMC1883392
DOI: 10.1136/bmj.305.6856.757

No abstract available

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Comment in

Confounding in epidemiological studies.
Morabia A. Morabia A. BMJ. 1992 Nov 14;305(6863):1225-6. doi: 10.1136/bmj.305.6863.1225-c. BMJ. 1992. PMID: 1303646 Free PMC article. No abstract available.
Confounding in epidemiological studies.
Morris JN. Morris JN. BMJ. 1992 Oct 31;305(6861):1097. doi: 10.1136/bmj.305.6861.1097-a. BMJ. 1992. PMID: 1467708 Free PMC article. No abstract available.
Meta-analyses of observational data should be done with due care.
Smith GD, Egger M. Smith GD, et al. BMJ. 1999 Jan 2;318(7175):56. doi: 10.1136/bmj.318.7175.56. BMJ. 1999. PMID: 9872898 Free PMC article. No abstract available.

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