Standout Papers

Marginal Structural Models and Causal Inference in Epidemiol... 1986 2026 1999 2012 3.8k
  1. Marginal Structural Models and Causal Inference in Epidemiology (2000)
    James M. Robins, Miguel A. Hernán et al. Epidemiology
  2. Causal Diagrams for Epidemiologic Research (1999)
    Sander Greenland, Judea Pearl et al. Epidemiology
  3. A Structural Approach to Selection Bias (2004)
    Miguel A. Hernán, Sonia Hernández–Dı́az et al. Epidemiology
  4. Estimation of Regression Coefficients When Some Regressors are not Always Observed (1994)
    James M. Robins, Andrea Rotnitzky et al. Journal of the American Statistical Association
  5. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect (1986)
    James M. Robins Mathematical Modelling
  6. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available: Table 1. (2016)
    Miguel A. Hernán, James M. Robins American Journal of Epidemiology
  7. Marginal Structural Models to Estimate the Causal Effect of Zidovudine on the Survival of HIV-Positive Men (2000)
    Miguel A. Hernán, Babette Brumback et al. Epidemiology
  8. Identifiability and Exchangeability for Direct and Indirect Effects (1992)
    James M. Robins, Sander Greenland Epidemiology
  9. Doubly Robust Estimation in Missing Data and Causal Inference Models (2005)
    Heejung Bang, James M. Robins Biometrics
  10. Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data (1995)
    James M. Robins, Andrea Rotnitzky et al. Journal of the American Statistical Association
  11. Double/debiased machine learning for treatment and structural parameters (2017)
    Victor Chernozhukov, Denis Chetverikov et al. Econometrics Journal
  12. Transmission Dynamics and Control of Severe Acute Respiratory Syndrome (2003)
    Marc Lipsitch, Ted Cohen et al. Science
  13. Methotrexate and mortality in patients with rheumatoid arthritis: a prospective study (2002)
    Hyon K. Choi, Miguel A. Hernán et al. The Lancet
  14. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models (1999)
    Daniel O. Scharfstein, Andrea Rotnitzky et al. Journal of the American Statistical Association
  15. Estimation of a Common Effect Parameter from Sparse Follow-Up Data (1985)
    Sander Greenland, James M. Robins Biometrics
  16. Instruments for Causal Inference (2006)
    Miguel A. Hernán, James M. Robins Epidemiology
  17. Unified Methods for Censored Longitudinal Data and Causality (2003)
    Mark J. van der Laan, James M. Robins Springer series in statistics
  18. Transmissibility of 1918 pandemic influenza (2004)
    James M. Robins, Marc Lipsitch et al. Nature
  19. Confounding and Collapsibility in Causal Inference (1999)
    Sander Greenland, Judea Pearl et al. Statistical Science
  20. Results of Multivariable Logistic Regression, Propensity Matching, Propensity Adjustment, and Propensity-based Weighting under Conditions of Nonuniform Effect (2005)
    Tobias Kurth, Alexander M. Walker et al. American Journal of Epidemiology
  21. Observational Studies Analyzed Like Randomized Experiments (2008)
    Miguel A. Hernán, Álvaro Alonso et al. Epidemiology
  22. When Is Baseline Adjustment Useful in Analyses of Change? An Example with Education and Cognitive Change (2005)
    M. Maria Glymour, Jennifer Weuve et al. American Journal of Epidemiology
  23. Per-Protocol Analyses of Pragmatic Trials (2017)
    Miguel A. Hernán, James M. Robins New England Journal of Medicine

Immediate Impact

6 by Nobel laureates 19 from Science/Nature 72 standout
Sub-graph 1 of 20

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2 intermediate papers

Works of James M. Robins being referenced

Per-Protocol Analyses of Pragmatic Trials
2017 Standout
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available: Table 1.
2016 Standout
and 8 more

Author Peers

Author Last Decade Papers Cites
James M. Robins 19785 7885 2245 3692 278 42.6k
Sander Greenland 7981 4272 1157 4539 337 42.5k
Miguel A. Hernán 8793 5560 660 4284 309 40.5k
Scott L. Zeger 9128 4640 2372 4707 331 51.4k
Nan M. Laird 7802 2802 1977 7004 234 67.0k
Roderick J. A. Little 14627 4374 4781 2832 236 50.1k
Patrick Royston 5774 4284 1725 6788 267 50.1k
Ross L. Prentice 10114 3589 1579 2859 380 41.6k
Ian R. White 5132 3188 1014 4486 440 41.9k
Peter C. Austin 6142 9426 1292 11030 895 72.2k
John B. Carlin 4391 2272 2681 5921 477 48.9k

All Works

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2026