Literature DB >> 19234395

The consistency statement in causal inference: a definition or an assumption?

Stephen R Cole1, Constantine E Frangakis.   

Abstract

Mesh：

Year:  2009        PMID： 19234395     DOI： 10.1097/EDE.0b013e31818ef366

Source DB:  PubMed          Journal:  Epidemiology        ISSN： 1044-3983            Impact factor:   4.822


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  125 in total

1.  Obtaining Actionable Inferences from Epidemiologic Actions.

Authors:  Ashley I Naimi
Journal:  Epidemiology       Date:  2019-03       Impact factor: 4.822

2.  Commentary on "Principal stratification - a goal or a tool?" by Judea Pearl.

Authors:  Peter B Gilbert; Michael G Hudgens; Julian Wolfson
Journal:  Int J Biostat       Date:  2011-09-20       Impact factor: 0.968

3.  Principal stratification and attribution prohibition: good ideas taken too far.

Authors:  Marshall Joffe
Journal:  Int J Biostat       Date:  2011-09-14       Impact factor: 0.968

4.  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

5.  Counterpoint: the treatment decision design.

Authors:  M Alan Brookhart
Journal:  Am J Epidemiol       Date:  2015-10-26       Impact factor: 4.897

6.  Imputation approaches for potential outcomes in causal inference.

Authors:  Daniel Westreich; Jessie K Edwards; Stephen R Cole; Robert W Platt; Sunni L Mumford; Enrique F Schisterman
Journal:  Int J Epidemiol       Date:  2015-07-25       Impact factor: 7.196

7.  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

8.  Estimating Human Immunodeficiency Virus (HIV) Prevention Effects in Low-incidence Settings.

Authors:  Jacqueline E Rudolph; Stephen R Cole; Joseph J Eron; Angela D Kashuba; Adaora A Adimora
Journal:  Epidemiology       Date:  2019-05       Impact factor: 4.822

9.  Using an instrumental variable to test for unmeasured confounding.

Authors:  Zijian Guo; Jing Cheng; Scott A Lorch; Dylan S Small
Journal:  Stat Med       Date:  2014-06-15       Impact factor: 2.373

10.  Are all biases missing data problems?

Authors:  Chanelle J Howe; Lauren E Cain; Joseph W Hogan
Journal:  Curr Epidemiol Rep       Date:  2015-07-12
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