James Matthew Robins, M.D.
Co-Author
This page shows the publications co-authored by James Robins and Tyler VanderWeele.
Connection Strength
5.113
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Re: Causality and causal inference in epidemiology: the need for a pluralistic approach. Int J Epidemiol. 2016 12 01; 45(6):2199-2200.
Score: 0.688
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Effect decomposition in the presence of an exposure-induced mediator-outcome confounder. Epidemiology. 2014 Mar; 25(2):300-6.
Score: 0.568
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A mapping between interactions and interference: implications for vaccine trials. Epidemiology. 2012 Mar; 23(2):285-92.
Score: 0.495
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Stochastic counterfactuals and stochastic sufficient causes. Stat Sin. 2012 Jan 01; 22(1):379-392.
Score: 0.489
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Marginal structural models for sufficient cause interactions. Am J Epidemiol. 2010 Feb 15; 171(4):506-14.
Score: 0.427
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Signed directed acyclic graphs for causal inference. J R Stat Soc Series B Stat Methodol. 2010 Jan 01; 72(1):111-127.
Score: 0.426
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Causal directed acyclic graphs and the direction of unmeasured confounding bias. Epidemiology. 2008 Sep; 19(5):720-8.
Score: 0.388
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Four types of effect modification: a classification based on directed acyclic graphs. Epidemiology. 2007 Sep; 18(5):561-8.
Score: 0.362
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Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect. Am J Epidemiol. 2007 Nov 01; 166(9):1096-104.
Score: 0.361
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The identification of synergism in the sufficient-component-cause framework. Epidemiology. 2007 May; 18(3):329-39.
Score: 0.354
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Instrumental variables as bias amplifiers with general outcome and confounding. Biometrika. 2017 Jun 01; 104(2):291-302.
Score: 0.177
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A proof of Bell's inequality in quantum mechanics using causal interactions. Scand Stat Theory Appl. 2015 Jun 01; 42(2):329-335.
Score: 0.155
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Semiparametric tests for sufficient cause interaction. J R Stat Soc Series B Stat Methodol. 2012 Mar; 74(2):223-244.
Score: 0.124
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Multiply robust inference for statistical interactions. J Am Stat Assoc. 2008 Dec 01; 103(484):1693-1704.
Score: 0.099
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.