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James Matthew Robins, M.D.


This page shows the publications co-authored by James Robins and Jessica Young.
Connection Strength

  1. Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data. Epidemiol Methods. 2014 Dec; 3(1):1-19.
    View in: PubMed
    Score: 0.581
  2. Relation between three classes of structural models for the effect of a time-varying exposure on survival. Lifetime Data Anal. 2010 Jan; 16(1):71-84.
    View in: PubMed
    Score: 0.409
  3. A generalized theory of separable effects in competing event settings. Lifetime Data Anal. 2021 10; 27(4):588-631.
    View in: PubMed
    Score: 0.232
  4. Inverse probability weighted estimation of risk under representative interventions in observational studies. J Am Stat Assoc. 2019; 114(526):938-947.
    View in: PubMed
    Score: 0.188
  5. Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions. J Am Stat Assoc. 2012; 107(499).
    View in: PubMed
    Score: 0.119
  6. Comparative effectiveness of dynamic treatment regimes: an application of the parametric g-formula. Stat Biosci. 2011 Sep 01; 3(1):119-143.
    View in: PubMed
    Score: 0.116
  7. Parametric g-formula implementations for causal survival analyses. Biometrics. 2021 06; 77(2):740-753.
    View in: PubMed
    Score: 0.054
  8. Weight Loss and Coronary Heart Disease: Sensitivity Analysis for Unmeasured Confounding by Undiagnosed Disease. Epidemiology. 2016 Mar; 27(2):302-10.
    View in: PubMed
    Score: 0.040
  9. Changes in fish consumption in midlife and the risk of coronary heart disease in men and women. Am J Epidemiol. 2013 Aug 01; 178(3):382-91.
    View in: PubMed
    Score: 0.033
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.