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James M. Robins

  1. Doubly Robust Estimation in Missing Data and Causal Inference Models
    2005/12/01 by Heejung Bang, James M. Robins · 150 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #Statistical Methods and Bayesian Inference
  2. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available: Table 1.
    2016/03/18 by Miguel A. Hernán, James M. Robins · 100 citations
    Mathematics · Economics, Econometrics and Finance · #Advanced Causal Inference Techniques #Health Systems, Economic Evaluations, Quality of Life #Statistical Methods and Inference
  3. A Theorem on the Manipulability of Redundant Serial Kinematic Chains
    2000/09/01 by James M. Robins, Miguel Ángel Hernán, Miguel A. Hernán +2 · 102 citations
    Engineering · Medicine · #Robotic Mechanisms and Dynamics #Robot Manipulation and Learning #Medical and Biological Sciences
  4. Estimation of Regression Coefficients When Some Regressors are not Always Observed
    1994/09/01 by James M. Robins, Andrea Rotnitzky, Lue Ping Zhao · 77 citations
    Mathematics · #Advanced Statistical Methods and Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  5. Causal Diagrams for Epidemiologic Research
    1999/01/01 by Sander Greenland, Judea Pearl, James M. Robins · 39 citations
    Mathematics · #Advanced Causal Inference Techniques
  6. Association, Causation, And Marginal Structural Models
    1999/11/01 by James M. Robins · 23 citations
    Mathematics · Medicine · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Liver Disease Diagnosis and Treatment
  7. Double/Debiased Machine Learning for Treatment and Causal Parameters
    2016/07/30 by Victor Chernozhukov, Denis Chetverikov, Chernozhukov, Victor +11 · 11 citations
    Mathematics · #62G #Advanced Causal Inference Techniques #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  8. A Structural Approach to Selection Bias
    2004/09/01 by Miguel A. Hernán, Sonia Hernández-Díaz, James M. Robins · 7 citations
  9. Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
    1998/12/01 by Andrea Rotnitzky, James M. Robins, Daniel O. Scharfstein · 6 citations
    Mathematics · #Statistical Methods and Inference #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials
  10. On the Validity of Covariate Adjustment for Estimating Causal Effects
    2012/03/15 by Ilya Shpitser, Tyler J. VanderWeele, Shpitser, Ilya +3 · 6 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Advanced Causal Inference Techniques #Statistical Methods and Inference
  11. Separable Effects for Causal Inference in the Presence of Competing Events
    2019/01/28 by Mats Julius Stensrud, Stensrud, Mats J., Jessica G. Young +7 · 6 citations
    Mathematics · Computer Science · Social Sciences · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Qualitative Comparative Analysis Research
  12. Instrumental variables as bias amplifiers with general outcome and confounding
    2017/02/15 by P. Ding, Peng Ding, T.J. Vanderweele +3 · 27 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
  13. An Interventionist Approach to Mediation Analysis
    2020/08/13 by James M. Robins, Robins, James M., Thomas S. Richardson +3 · 6 citations
    Arts and Humanities · Psychology · Social Sciences · #62P10 #FOS: Computer and information sciences #Methodology (stat.ME) #Philosophy and History of Science #Psychotherapy Techniques and Applications #Qualitative Comparative Analysis Research
  14. Conditional separable effects
    2020/06/28 by Mats Julius Stensrud, Stensrud, Mats J., James M. Robins +7 · 5 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
  15. On the multiply robust estimation of the mean of the g-functional
    2017/05/24 by Andrea Rotnitzky, James M. Robins, Rotnitzky, Andrea +3 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
  16. Nonparametric identification is not enough, but randomized controlled trials are
    2021/08/25 by Peter M. Aronow, P. M. Aronow, James M. Robins +9 · 5 voices · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  17. Minimax rates for heterogeneous causal effect estimation
    2022/03/02 by Edward H. Kennedy, Kennedy, Edward H., Sivaraman Balakrishnan +5 · 1 voice · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference
  18. Causal and Counterfactual Views of Missing Data Models
    2022/10/11 by Razieh Nabi, Nabi, Razieh, Rohit Bhattacharya +5 · 1 voice · 3 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials #cs.LG #stat.ME #stat.ML
  19. Study designs for extending causal inferences from a randomized trial to\n a target population
    2019/05/19 by Issa J Dahabreh, Dahabreh, Issa J., Sebastien J-P. A. Haneuse +11 · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME)
  20. Efficient Nonparametric Conformal Prediction Regions
    2011/11/06 by Jing Lei, James M. Robins, Lei, Jing +3 · 3 citations
    Computer Science · Mathematics · #62G15 #Advanced Data Compression Techniques #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistical Methods and Inference #Statistics Theory (math.ST)
  21. Potential Outcome and Decision Theoretic Foundations for Statistical Causality
    2023/02/08 by Thomas S. Richardson, James M. Robins, Richardson, Thomas S. +1 · 2 citations
    Computer Science · Mathematics · #62A01 (Primary) 62D20 #62H22 (Secondary) #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Mathematics #Statistics Theory (math.ST)
  22. Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
    2022/05/19 by Benjamin Kompa, Kompa, Benjamin, David R. Bellamy +7 · 1 citation
    Mathematics · Engineering · #Statistical Methods and Inference #Advanced Causal Inference Techniques #Nuclear reactor physics and engineering
  23. Structural Nested Mean Models Under Parallel Trends Assumptions
    2022/04/21 by Zach Shahn, Oliver Dukes, Shahn, Zach +8 · 2 citations
    Economics, Econometrics and Finance · Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Economic Policies and Impacts #FOS: Computer and information sciences #FOS: Mathematics #Gender, Labor, and Family Dynamics #Methodology (stat.ME) #Statistics Theory (math.ST)
  24. Higher Order Estimating Equations for High-dimensional Models
    2015/12/07 by James M. Robins, Robins, James, Lingling Li +7 · 1 citation
    Mathematics · #62F25 #62G05 #62G20 #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference