Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

James Matthew Robins, M.D.

Co-Author

This page shows the publications co-authored by James Robins and Tyler VanderWeele.
Connection Strength

5.113
  1. Re: Causality and causal inference in epidemiology: the need for a pluralistic approach. Int J Epidemiol. 2016 12 01; 45(6):2199-2200.
    View in: PubMed
    Score: 0.688
  2. Effect decomposition in the presence of an exposure-induced mediator-outcome confounder. Epidemiology. 2014 Mar; 25(2):300-6.
    View in: PubMed
    Score: 0.568
  3. A mapping between interactions and interference: implications for vaccine trials. Epidemiology. 2012 Mar; 23(2):285-92.
    View in: PubMed
    Score: 0.495
  4. Stochastic counterfactuals and stochastic sufficient causes. Stat Sin. 2012 Jan 01; 22(1):379-392.
    View in: PubMed
    Score: 0.489
  5. Marginal structural models for sufficient cause interactions. Am J Epidemiol. 2010 Feb 15; 171(4):506-14.
    View in: PubMed
    Score: 0.427
  6. Signed directed acyclic graphs for causal inference. J R Stat Soc Series B Stat Methodol. 2010 Jan 01; 72(1):111-127.
    View in: PubMed
    Score: 0.426
  7. Causal directed acyclic graphs and the direction of unmeasured confounding bias. Epidemiology. 2008 Sep; 19(5):720-8.
    View in: PubMed
    Score: 0.388
  8. Four types of effect modification: a classification based on directed acyclic graphs. Epidemiology. 2007 Sep; 18(5):561-8.
    View in: PubMed
    Score: 0.362
  9. Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect. Am J Epidemiol. 2007 Nov 01; 166(9):1096-104.
    View in: PubMed
    Score: 0.361
  10. The identification of synergism in the sufficient-component-cause framework. Epidemiology. 2007 May; 18(3):329-39.
    View in: PubMed
    Score: 0.354
  11. Instrumental variables as bias amplifiers with general outcome and confounding. Biometrika. 2017 Jun 01; 104(2):291-302.
    View in: PubMed
    Score: 0.177
  12. A proof of Bell's inequality in quantum mechanics using causal interactions. Scand Stat Theory Appl. 2015 Jun 01; 42(2):329-335.
    View in: PubMed
    Score: 0.155
  13. Semiparametric tests for sufficient cause interaction. J R Stat Soc Series B Stat Methodol. 2012 Mar; 74(2):223-244.
    View in: PubMed
    Score: 0.124
  14. Multiply robust inference for statistical interactions. J Am Stat Assoc. 2008 Dec 01; 103(484):1693-1704.
    View in: PubMed
    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.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.