james robins

59 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-6609-209X

Department of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, MA , USA

Publications

Andrea Rotnitzky, Ezequiel Smucler, and James Robins’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al. — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026
On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations — Biometrika 2025
Using negative controls to identify causal effects with invalid instrumental variables — Biometrika 2025
Minimax rates for heterogeneous causal effect estimation — The Annals of Statistics 2024
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
Conditional Separable Effects — Journal of the American Statistical Association 2023
Nested Markov properties for acyclic directed mixed graphs — The Annals of Statistics 2023
Separable Effects for Causal Inference in the Presence of Competing Events — Journal of the American Statistical Association 2022
Locally Robust Semiparametric Estimation — Econometrica 2022
Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption — Journal of the American Statistical Association 2021
Characterization of parameters with a mixed bias property — Biometrika 2021
Estimation of local treatment effects under the binary instrumental variable model — Biometrika 2021
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’ — Biometrika 2021
Inverse Probability Weighted Estimation of Risk Under Representative Interventions in Observational Studies — Journal of the American Statistical Association 2019
Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes — Journal of the American Statistical Association 2018
On Modeling and Estimation for the Relative Risk and Risk Difference — Journal of the American Statistical Association 2017
Multiple robustness in factorized likelihood models — Biometrika 2017
On falsification of the binary instrumental variable model — Biometrika 2017
Erratum: On falsification of the binary instrumental variable model — Biometrika 2017
Instrumental variables as bias amplifiers with general outcome and confounding — Biometrika 2017
Minimax estimation of a functional on a structured high-dimensional model — The Annals of Statistics 2017
Doubly robust estimation of the local average treatment effect curve — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015
Distribution-Free Prediction Sets — Journal of the American Statistical Association 2013
Improved double-robust estimation in missing data and causal inference models — Biometrika 2012
Semiparametric tests for sufficient cause interaction — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2012
Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions — Journal of the American Statistical Association 2012
Time-dependent cross ratio estimation for bivariate failure times — Biometrika 2011
On doubly robust estimation in a semiparametric odds ratio model — Biometrika 2010
Signed directed acyclic graphs for causal inference — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2010
Multiply Robust Inference for Statistical Interactions — Journal of the American Statistical Association 2008
Empirical and counterfactual conditions for sufficient cause interactions — Biometrika 2008
Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse — Biometrika 2007
Estimation in Partially Linear Models With Missing Covariates — Journal of the American Statistical Association 2004
Twicing Kernels and a Small Bias Property of Semiparametric Estimators — Econometrica 2004
Locally Efficient Estimation of a Multivariate Survival Function in Longitudinal Studies — Journal of the American Statistical Association 2002
Causal Inference for Complex Longitudinal Data: The Continuous Case — The Annals of Statistics 2001
Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments — Journal of the American Statistical Association 2001
Asymptotic Distribution ofPValues in Composite Null Models — Journal of the American Statistical Association 2000
Comment — Journal of the American Statistical Association 2000
Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts — Journal of the American Statistical Association 2000
Comment — Journal of the American Statistical Association 2000
Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models — Journal of the American Statistical Association 1999
Rejoinder — Journal of the American Statistical Association 1999
Estimation of the Causal Effect of a Time-Varying Exposure on the Marginal Mean of a Repeated Binary Outcome — Journal of the American Statistical Association 1999
Rejoinder — Journal of the American Statistical Association 1999
Locally Efficient Estimation with Current Status Data and Time-Dependent Covariates — Journal of the American Statistical Association 1998
Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse — Journal of the American Statistical Association 1998
Semiparametric Efficiency and its Implication on the Design and Analysis of Group-Sequential Studies — Journal of the American Statistical Association 1997
Comment — Journal of the American Statistical Association 1996
Semiparametric Efficient Estimation of a Conditional Density with Missing or Mismeasured Covariates — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1995
Semiparametric regression estimation in the presence of dependent censoring — Biometrika 1995
Causal diagrams for empirical research: Discussion of ‘Causal diagrams for empirical research’ by J. Pearl — Biometrika 1995
Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data — Journal of the American Statistical Association 1995
Semiparametric Efficiency in Multivariate Regression Models with Missing Data — Journal of the American Statistical Association 1995
Adjusting for Differential Rates of Prophylaxis Therapy for PCP in High-Versus Low-Dose AZT Treatment Arms in an AIDS Randomized Trial — Journal of the American Statistical Association 1994
Estimation of Regression Coefficients When Some Regressors are not Always Observed — Journal of the American Statistical Association 1994
Semiparametric estimation of an accelerated failure time model with time-dependent covariates — Biometrika 1992
Estimation of the time-dependent accelerated failure time model in the presence of confounding factors — Biometrika 1992
Comment — Journal of the American Statistical Association 1986