Causal Etiology of the Research of James M. Robins

This issue of Statistical Science draws its inspiration from the work of James M. Robins. Jon Wellner, the Editor at the time, asked the two of us to edit a special issue that would highlight the research topics studied by Robins and the breadth and depth of Robins' contributions. Between the two of us, we have collaborated closely with Jamie for nearly 40 years. We agreed to edit this issue because we recognized that we were among the few in a position to relate the trajectory of his research career to date.

• Publication year

  2014

• Venue

  arXiv: Methodology

• Publication date

  2014-11-01

• Fields of study

  Mathematics, Computer Science, Psychology

• Identifiers
  DOI 10.1214/14-STS505arXiv 1503.02894
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Counting Processes And Survival Analysis

  2016cited by this paper
• Multiple Imputation For Nonresponse In Surveys

  2016cited by this paper
• Standardization and Control for Confounding in Observational Studies: A Historical Perspective

  2015cited by this paper
• Nonparametric Bounds and Sensitivity Analysis of Treatment Effects.

  2014influential reference
• Interference and Sensitivity Analysis.

  2014cited by this paper
• INTRODUCTION TO NESTED MARKOV MODELS

  2014influential reference
• Doubly Robust Estimation

  2014influential reference
• Estimation of optimal dynamic treatment regimes

  2014influential reference
• Structural nested models and G-estimation: the partially realized promise

  2014cited by this paper
• Higher Order Tangent Spaces and Influence Functions

  2014cited by this paper
• SHARP BOUNDS ON THE VARIANCE IN RANDOMIZED EXPERIMENTS

  2014cited by this paper
• Causal diagrams for interference

  2014influential reference
• Double-Robust Methods

  2014cited by this paper
• A uniformly consistent estimator of causal effects under the k-Triangle-Faithfulness assumption

  2014cited by this paper
• EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS

  2013cited by this paper
• On the definition of a confounder

  2013cited by this paper
• GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURES.

  2013cited by this paper
• Graphical Models for Inference with Missing Data

  2013cited by this paper
• Markovian acyclic directed mixed graphs for discrete data

  2013cited by this paper
• Single World Intervention Graphs ( SWIGs ) : A Unification of the Counterfactual and Graphical Approaches to Causality

  2013cited by this paper
• Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes

  2012cited by this paper
• Parameter and Structure Learning in Nested Markov Models

  2012influential reference
• Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions

  2012cited by this paper
• The Bayesian analysis of complex, high-dimensional models: Can it be CODA?

  2012cited by this paper
• A Proof of Bell's Inequality in Quantum Mechanics Using Causal interactions

  2012cited by this paper
• A mapping between interactions and interference: implications for vaccine trials.

  2012cited by this paper
• Statistics, causality and Bell's theorem

  2012influential reference
• The International Journal of Biostatistics Targeted Maximum Likelihood Learning

  2011cited by this paper
• Learning high-dimensional directed acyclic graphs with latent and selection variables

  2011influential reference
• Targeted Learning: Causal Inference for Observational and Experimental Data

  2011cited by this paper
• Marginal Structural Models

  2011influential reference
• Doubly Robust Policy Evaluation and Learning

  2011cited by this paper
• Statistical Applications in Genetics and Molecular Biology Epistatic Interactions

  2011cited by this paper
• Markov properties for mixed graphs

  2011cited by this paper
• PROBABILITY DISTRIBUTIONS WITH SUMMARY GRAPH STRUCTURE

  2010cited by this paper
• Sufficient cause interactions for categorical and ordinal exposures with three levels.

  2010cited by this paper
• Alternative Graphical Causal Models and the Identification of Direct E!ects

  2010cited by this paper
• Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part II: Proofs of Results

  2010cited by this paper
• Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content

  2010cited by this paper
• Covariate adjustment in randomized trials with binary outcomes: Targeted maximum likelihood estimation

  2009cited by this paper
• Variance function estimation in multivariate nonparametric regression with fixed design

  2009cited by this paper
• Minimal sufficient causation and directed acyclic graphs

  2009cited by this paper
• Covariate adjustment for two‐sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

  2008cited by this paper
• Observational Studies Analyzed Like Randomized Experiments: An Application to Postmenopausal Hormone Therapy and Coronary Heart Disease

  2008cited by this paper
• Causal models for estimating the effects of weight gain on mortality

  2008cited by this paper
• The Neyman— Rubin Model of Causal Inference and Estimation Via Matching Methods

  2008cited by this paper
• Effect of mean on variance function estimation in nonparametric regression

  2008cited by this paper
• Identifying Dynamic Sequential Plans

  2008cited by this paper
• Estimation and extrapolation of optimal treatment and testing strategies

  2008influential reference
• Higher order influence functions and minimax estimation of nonlinear functionals

  2008influential reference
• Principal Stratification Designs to Estimate Input Data Missing Due to Death

  2007cited by this paper
• Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules

  2007cited by this paper
• Locally Efficient Estimation With Bivariate Right-Censored Data

  2006cited by this paper
• Pearl's Calculus of Intervention Is Complete

  2006cited by this paper
• Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models

  2006cited by this paper
• Invited Commentary Invited Commentary: Effect Modification by Time-varying Covariates American Journal of Epidemiology Advance Access Standard versus History-adjusted Marginal Structural Models Model Incompatibility in History-adjusted Marginal Structural Models Structural Nested Models versus Histo

  2006cited by this paper
• Comparison of dynamic treatment regimes via inverse probability weighting.

  2006cited by this paper
• Semiparametric Theory and Missing Data

  2006cited by this paper
• Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm

  2005influential reference
• Structural Nested Failure Time Models

  2005cited by this paper
• Doubly Robust Estimation in Missing Data and Causal Inference Models

  2005influential reference
• On the testability of the CAR assumption

  2004influential reference
• Optimal Structural Nested Models for Optimal Sequential Decisions

  2004cited by this paper
• Direct and Indirect Causal Effects via Potential Outcomes *

  2004cited by this paper
• Uniform consistency in causal inference

  2003cited by this paper
• Markov Properties for Acyclic Directed Mixed Graphs

  2003influential reference
• Causation, Prediction, and Search

  2003cited by this paper
• Optimal dynamic treatment regimes

  2003cited by this paper
• The Statistical Analysis of Failure Time Data

  2003influential reference
• Unified Methods for Censored Longitudinal Data and Causality

  2003cited by this paper
• Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials

  2003cited by this paper
• Observational Studies

  2003cited by this paper
• Analytic Methods for Estimating HIV-Treatment and Cofactor Effects

  2002cited by this paper
• MULTIPLE IMPUTATIONS IN SAMPLE SURVEYS-A PHENOMENOLOGICAL BAYESIAN APPROACH TO NONRESPONSE

  2002cited by this paper
• On the Testable Implications of Causal Models with Hidden Variables

  2002influential reference
• Ancestral graph Markov models

  2002influential reference
• A general identification condition for causal effects

  2002influential reference
• Locally Efficient Estimation of a Multivariate Survival Function in Longitudinal Studies

  2002cited by this paper
• Principal Stratification in Causal Inference

  2002cited by this paper
• Direct and Indirect Effects

  2001influential reference
• INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER

  2001cited by this paper
• Causal inference for complex longitudinal data: the continuous case

  2001influential reference
• Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models

  2000cited by this paper
• Bayesian Analysis

  2000influential reference
• Marginal Structural Models versus Structural nested Models as Tools for Causal inference

  2000influential reference
• Inference for imputation estimators

  2000cited by this paper
• Asymptotic Distribution of P Values in Composite Null Models

  2000cited by this paper
• P Values for Composite Null Models

  2000cited by this paper
• Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts

  2000cited by this paper
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models

  1999cited by this paper
• Likelihood Factorizations for Mixed Discrete and Continuous Variables

  1999cited by this paper
• On the impossibility of inferring causation from association without background knowledge

  1999cited by this paper
• Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes

  1999cited by this paper
• More powerful randomization-based p-values in double-blind trials with non-compliance.

  1998cited by this paper
• Large-sample theory for parametric multiple imputation procedures

  1998cited by this paper
• Arcing classifier (with discussion and a rejoinder by the author)

  1998cited by this paper
• Robust models in probability sampling

  1998influential reference
• Coarsening at Random: Characterizations, Conjectures, Counter-Examples

  1997cited by this paper
• Causal Inference from Complex Longitudinal Data

  1997cited by this paper
• Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.

  1997influential reference

• A Robust Score Test in G‐Computation for Covariate Adjustment in Randomized Clinical Trials Leveraging Different Variance Estimators via Influence Functions

  2025cites this paper
• On treating right-censoring events like treatments

  2025cites this paper
• Using inverse probability of censoring weighting to estimate hypothetical estimands in clinical trials: Should we implement stabilisation, and if so how?

  2025cites this paper
• What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research

  2024cites this paper
• Methods in causal inference. Part 3: measurement error and external validity threats

  2024cites this paper
• A Causal Analysis of CO2 Reduction Strategies in Electricity Markets Through Machine Learning-Driven Metalearners

  2024cites this paper
• Interview with Jamie Robins

  2022cites this paper
• Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models

  2021cites this paper
• Multiply robust estimators of causal effects for survival outcomes

  2021cites this paper
• Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising

  2021cites this paper
• Statement on methods in sport injury research from the 1st METHODS MATTER Meeting, Copenhagen, 2019

  2020cites this paper
• Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects

  2020cites this paper
• Telescope Matching: Reducing Model Dependence in the Estimation of Controlled Direct Effects

  2019cites this paper
• Testing group differences for confounder selection in nonrandomized studies: flawed practice

  2019cites this paper
• Telescope Matching : Reducing Model Dependence in the Estimation of Direct Effects *

  2019cites this paper
• RE: "BEST PRACTICES FOR GAUGING EVIDENCE OF CAUSALITY IN AIR POLLUTION EPIDEMIOLOGY".

  2018cites this paper
• Causal Concepts, Principles, and Algorithms

  2018cites this paper
• Telescope Matching: A Flexible Approach to Estimating Direct Effects

  2018cites this paper
• Do not throw the baby out with the bathwater; screening can identify meaningful risk factors for sports injuries

  2018cites this paper
• Modernizing the Bradford Hill criteria for assessing causal relationships in observational data

  2018cites this paper
• Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks

  2018cites this paper
• Data Science, Design, and Causal Inference

  2017cites this paper