How to evaluate interaction between causes: a review of practices in cardiovascular epidemiology

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Standard

How to evaluate interaction between causes : a review of practices in cardiovascular epidemiology. / Hallqvist, J; Ahlbom, A; Diderichsen, Finn; Reuterwall, C.

I: Journal of Internal Medicine, Bind 239, Nr. 5, 1996, s. 377-82.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hallqvist, J, Ahlbom, A, Diderichsen, F & Reuterwall, C 1996, 'How to evaluate interaction between causes: a review of practices in cardiovascular epidemiology', Journal of Internal Medicine, bind 239, nr. 5, s. 377-82.

APA

Hallqvist, J., Ahlbom, A., Diderichsen, F., & Reuterwall, C. (1996). How to evaluate interaction between causes: a review of practices in cardiovascular epidemiology. Journal of Internal Medicine, 239(5), 377-82.

Vancouver

Hallqvist J, Ahlbom A, Diderichsen F, Reuterwall C. How to evaluate interaction between causes: a review of practices in cardiovascular epidemiology. Journal of Internal Medicine. 1996;239(5):377-82.

Author

Hallqvist, J ; Ahlbom, A ; Diderichsen, Finn ; Reuterwall, C. / How to evaluate interaction between causes : a review of practices in cardiovascular epidemiology. I: Journal of Internal Medicine. 1996 ; Bind 239, Nr. 5. s. 377-82.

Bibtex

@article{3ef21fe508bc4a37b167805902453a15,
title = "How to evaluate interaction between causes: a review of practices in cardiovascular epidemiology",
abstract = "To increase the knowledge of interaction or synergy between risk factors in an important task in medical research. Still, current literature in cardiovascular epidemiology reflects major misconceptions as how to evaluate interaction. This paper presents Rothman's model of causation from which strict empirical criteria of interaction can be derived. In principle, the method to apply consists of comparing risk differences for one risk factor of interest across strata of the other. Commonly used but incorrect approaches are exemplified and discussed. These include reporting risk of disease among those with combined exposure, comparing relative risks for one exposure after stratification by level of the other, and including an interaction term in the regression model and drawing conclusions from its P-value.",
keywords = "Cardiovascular Diseases, Causality, Humans, Models, Theoretical, Risk",
author = "J Hallqvist and A Ahlbom and Finn Diderichsen and C Reuterwall",
year = "1996",
language = "English",
volume = "239",
pages = "377--82",
journal = "Acta Medica Scandinavica",
issn = "0955-7873",
publisher = "Wiley-Blackwell",
number = "5",

}

RIS

TY - JOUR

T1 - How to evaluate interaction between causes

T2 - a review of practices in cardiovascular epidemiology

AU - Hallqvist, J

AU - Ahlbom, A

AU - Diderichsen, Finn

AU - Reuterwall, C

PY - 1996

Y1 - 1996

N2 - To increase the knowledge of interaction or synergy between risk factors in an important task in medical research. Still, current literature in cardiovascular epidemiology reflects major misconceptions as how to evaluate interaction. This paper presents Rothman's model of causation from which strict empirical criteria of interaction can be derived. In principle, the method to apply consists of comparing risk differences for one risk factor of interest across strata of the other. Commonly used but incorrect approaches are exemplified and discussed. These include reporting risk of disease among those with combined exposure, comparing relative risks for one exposure after stratification by level of the other, and including an interaction term in the regression model and drawing conclusions from its P-value.

AB - To increase the knowledge of interaction or synergy between risk factors in an important task in medical research. Still, current literature in cardiovascular epidemiology reflects major misconceptions as how to evaluate interaction. This paper presents Rothman's model of causation from which strict empirical criteria of interaction can be derived. In principle, the method to apply consists of comparing risk differences for one risk factor of interest across strata of the other. Commonly used but incorrect approaches are exemplified and discussed. These include reporting risk of disease among those with combined exposure, comparing relative risks for one exposure after stratification by level of the other, and including an interaction term in the regression model and drawing conclusions from its P-value.

KW - Cardiovascular Diseases

KW - Causality

KW - Humans

KW - Models, Theoretical

KW - Risk

M3 - Journal article

C2 - 8642229

VL - 239

SP - 377

EP - 382

JO - Acta Medica Scandinavica

JF - Acta Medica Scandinavica

SN - 0955-7873

IS - 5

ER -

ID: 40346425