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Literature DB >> 16120710

Invited commentary: hypothetical interventions to define causal effects--afterthought or prerequisite?

Miguel A Hernán¹.

Abstract

Mesh：

Year: 2005 PMID： 16120710 DOI： 10.1093/aje/kwi255

Source DB: PubMed Journal: Am J Epidemiol ISSN： 0002-9262 Impact factor: 4.897

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Cited

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47 in total

1. Marginal structural models for case-cohort study designs to estimate the association of antiretroviral therapy initiation with incident AIDS or death.

Authors: Stephen R Cole; Michael G Hudgens; Phyllis C Tien; Kathryn Anastos; Lawrence Kingsley; Joan S Chmiel; Lisa P Jacobson
Journal: Am J Epidemiol Date: 2012-02-01 Impact factor: 4.897

2. Weight Loss and Coronary Heart Disease: Sensitivity Analysis for Unmeasured Confounding by Undiagnosed Disease.

Authors: Goodarz Danaei; James M Robins; Jessica G Young; Frank B Hu; JoAnn E Manson; Miguel A Hernán
Journal: Epidemiology Date: 2016-03 Impact factor: 4.822

3. Intervening on risk factors for coronary heart disease: an application of the parametric g-formula.

Authors: Sarah L Taubman; James M Robins; Murray A Mittleman; Miguel A Hernán
Journal: Int J Epidemiol Date: 2009-04-23 Impact factor: 7.196

4. Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking.

Authors: Jennifer Ahern; K Ellicott Colson; Claire Margerson-Zilko; Alan Hubbard; Sandro Galea
Journal: Am J Public Health Date: 2016-09-15 Impact factor: 9.308

5. Framing air pollution epidemiology in terms of population interventions, with applications to multipollutant modeling.

Authors: Jonathan M Snowden; Colleen E Reid; Ira B Tager
Journal: Epidemiology Date: 2015-03 Impact factor: 4.822

Invited commentary: hypothetical interventions to define causal effects--afterthought or prerequisite?

1. Marginal structural models for case-cohort study designs to estimate the association of antiretroviral therapy initiation with incident AIDS or death.

2. Weight Loss and Coronary Heart Disease: Sensitivity Analysis for Unmeasured Confounding by Undiagnosed Disease.

3. Intervening on risk factors for coronary heart disease: an application of the parametric g-formula.

4. Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking.

5. Framing air pollution epidemiology in terms of population interventions, with applications to multipollutant modeling.

6. Cost-of-illness studies: a guide to critical evaluation.

7. Epidemiology's continuing contribution to public health: The power of "Then and Now".

8. Is the Smog Lifting?: Causal Inference in Environmental Epidemiology.

9. For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates.

10. Identifiability, exchangeability and confounding revisited.