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American Journal of Epidemiology Advance Access originally published online on August 24, 2005
American Journal of Epidemiology 2005 162(7):621-622; doi:10.1093/aje/kwi256
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American Journal of Epidemiology Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health All rights reserved

ORIGINAL CONTRIBUTIONS

van der Laan et al. Respond to "Hypothetical Interventions to Define Causal Effects"

Mark J. van der Laan1,2, Thaddeus J. Haight3 and Ira B. Tager3

1 Department of Statistics, University of California, Berkeley, CA
2 Division of Biostatistics, School of Public Health, University of California, Berkeley, CA
3 Division of Epidemiology, School of Public Health, University of California, Berkeley, CA

Correspondence to Thaddeus J. Haight, Division of Epidemiology, School of Public Health, University of California, Berkeley, 140 Warren Hall, #7360, Berkeley, CA 94720-7360 (e-mail: tad@stat.berkeley.edu).

Received for publication June 2, 2005. Accepted for publication June 7, 2005.

Abbreviations: L/F, ratio of lean body mass to fat mass; MSM, marginal structural model

The first 10% of the full text of this article appears below.

Dr. Hernán (1Go) wrote a very insightful and educational response to our paper (2Go). He distinguishes between two types of epidemiologic analyses that apply marginal structural models (MSMs) or any other causal model: one in which the assignment of treatment (exposure) is uniquely defined (e.g., administration of a drug) and one in which it is unclear what route a . . . [Full Text of this Article]


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