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Data analysis methods and the reliability of analytic epidemiologic research.

Prentice, Ross L (2008) Data analysis methods and the reliability of analytic epidemiologic research. Epidemiology (Cambridge, Mass.), 19 (6). 785-788; discussion 789. ISSN 1531-5487

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Article URL: http://journals.lww.com/epidem/Fulltext/2008/11000...

Abstract

Publications that compare randomized controlled trial and cohort study results on the effects of postmenopausal estrogen-plus-progestin therapy are reviewed. The 2 types of studies agree in identifying an early elevation in coronary heart disease risk, and a later developing elevation in breast cancer risk. Effects among women who begin hormone therapy within a few years after the menopause may be comparatively more favorable for coronary heart disease and less favorable for breast cancer. These analyses illustrate the potential of modern data analysis methods to enhance the reliability and interpretation of epidemiologic data.

Item Type: Article
Additional Information: This is a non-final version of an article published in final form in Epidemiology. 2008 Nov;19(6):785-8; discussion 789-93.
DOI: 10.1097/EDE.0b013e318188e83b
PubMed ID: 18813015
NIHMSID: NIHMS111644
PMCID: PMC2711000
Grant Numbers: P01 CA53996, N01WH22110
Keywords or MeSH Headings: Breast Neoplasms/etiology; Cardiovascular Diseases/etiology/prevention & control; Drug Therapy, Combination; Epidemiologic Research Design; Estrogen Replacement Therapy/adverse effects; Estrogens/adverse effects; Female; Humans; Middle Aged; Progesterone/adverse effects; Randomized Controlled Trials as Topic; Risk Factors; Stroke/etiology;
Depositing User: Library Staff
Date Deposited: 16 Apr 2009 17:33
Last Modified: 14 Feb 2012 14:42
URI: http://authors.fhcrc.org/id/eprint/276

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