Genetic Epidemiology 11:463-472 (1994) Direction of Causation: Reply to Commentaries

Inferring the direction of causation in cross-sectional twin data: theoretical and empirical considerations.

A recent multivariate extension of the classical twin study in theory allows the inference of the direction of causation between correlated traits solely using cross-sectional data. In this paper we briefly review this model and assess its usefulness by applying it to a number of pairs of biological and psychological variables between which the nature of the causative relationship is already kn...

Response: Formalism or pluralism? A reply to commentaries on 'Causality and causal inference in epidemiology'.

doi: 10.1093/ije/dyw298 Advance Access Publication Date: 27 January 2017 Response: Formalism or pluralism? A reply to commentaries on ‘Causality and causal inference in epidemiology’ Alex Broadbent,* Jan P Vandenbroucke and Neil Pearce Department of Philosophy, University of Johannesburg, Jonannesburg, South Africa, Leiden University Medical Center, Department of Clinical Epidemiology, Leiden, ...

Author’s Reply to “A Note on the Simulation of Gas Diffusion in Capillaries and Porous Solids”

Author’s Reply to “A Note on the Simulation of Gas Diffusion in Capillaries and Porous Solids”

Epidemiology and the web of causation: has anyone seen the spider?

'Multiple causation' is the canon of contemporary epidemiology, and its metaphor and model is the 'web of causation.' First articulated in a 1960 U.S. epidemiology textbook, the 'web' remains a widely accepted but poorly elaborated model, reflecting in part the contemporary stress on epidemiologic methods over epidemiologic theories of disease causation. This essay discusses the origins, featur...