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Per-Protocol Analyses of Pragmatic Trials

The New England journal of medicine, 2017-10, Vol.377 (14), p.1391-1398

2017

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Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available

American journal of epidemiology, 2016-04, Vol.183 (8), p.758-764

2016

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Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder

Epidemiology (Cambridge, Mass.), 2014-03, Vol.25 (2), p.300-306

2014

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Locally Robust Semiparametric Estimation

Econometrica, 2022-07, Vol.90 (4), p.1501-1535

2022

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Doubly Robust Estimation in Missing Data and Causal Inference Models

Biometrics, 2005-12, Vol.61 (4), p.962-973

2005

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Double/debiased machine learning for treatment and structural parameters

The econometrics journal, 2018-02, Vol.21 (1), p.C1-C68

2018

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Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

Journal of econometrics, 2024-03, Vol.240 (2), p.105500, Article 105500

2024

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MINIMAX ESTIMATION OF A FUNCTIONAL ON A STRUCTURED HIGH-DIMENSIONAL MODEL

The Annals of statistics, 2017-10, Vol.45 (5), p.1951-1987

2017

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Separable Effects for Causal Inference in the Presence of Competing Events

Journal of the American Statistical Association, 2022-01, Vol.117 (537), p.175-183

2022

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Second look at the spread of epidemics on networks

Physical review. E, Statistical, nonlinear, and soft matter physics, 2007-09, Vol.76 (3 Pt 2), p.036113-036113, Article 036113

2007

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On Modeling and Estimation for the Relative Risk and Risk Difference

Journal of the American Statistical Association, 2017-07, Vol.112 (519), p.1121-1130

2017

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Nested Markov properties for acyclic directed mixed graphs

The Annals of statistics, 2023-02, Vol.51 (1), p.334

2023

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On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning

Statistical science, 2020-08, Vol.35 (3), p.518-539

2020

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Minimax rates for heterogeneous causal effect estimation

The Annals of statistics, 2024-04, Vol.52 (2), p.793

2024

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Factors associated with 30-day ventriculoperitoneal shunt failure in pediatric and adult patients

Journal of neurosurgery, 2019-01, Vol.130 (1), p.145-153

2019

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Resting Orientations of Dinosaur Scapulae and Forelimbs: A Numerical Analysis, with Implications for Reconstructions and Museum Mounts

PloS one, 2015-12, Vol.10 (12), p.e0144036-e0144036

2015

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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, 2024-07, Vol.86 (3), p.578-580

2024

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Doubly robust estimation of the local average treatment effect curve

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2015-03, Vol.77 (2), p.373-396

2015

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Video article: the subtemporal extradural approach to cavernous sinus tumour

Child's nervous system, 2023-12, Vol.39 (12), p.3593-3593

2023

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Coherent modeling of longitudinal causal effects on binary outcomes

Biometrics, 2023-06, Vol.79 (2), p.775-787

2023

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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, 2018-04, Vol.113 (522), p.933-947

2018

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Estimation of local treatment effects under the binary instrumental variable model

Biometrika, 2021-12, Vol.108 (4), p.881-894

2021

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Randomized trials analyzed as observational studies

Annals of internal medicine, 2013-10, Vol.159 (8), p.560

2013

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A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference

American journal of epidemiology, 2017-07, Vol.186 (2), p.131-142

2017

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A formal causal interpretation of the case‐crossover design

Biometrics, 2023-06, Vol.79 (2), p.1330-1343

2023

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Per-Protocol Analyses of Pragmatic Trials

Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available

Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder

Locally Robust Semiparametric Estimation

Doubly Robust Estimation in Missing Data and Causal Inference Models

Double/debiased machine learning for treatment and structural parameters

Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

MINIMAX ESTIMATION OF A FUNCTIONAL ON A STRUCTURED HIGH-DIMENSIONAL MODEL

Separable Effects for Causal Inference in the Presence of Competing Events

Second look at the spread of epidemics on networks

On Modeling and Estimation for the Relative Risk and Risk Difference

Nested Markov properties for acyclic directed mixed graphs

On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning

Minimax rates for heterogeneous causal effect estimation

Factors associated with 30-day ventriculoperitoneal shunt failure in pediatric and adult patients

Resting Orientations of Dinosaur Scapulae and Forelimbs: A Numerical Analysis, with Implications for Reconstructions and Museum Mounts

Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez

Doubly robust estimation of the local average treatment effect curve

Video article: the subtemporal extradural approach to cavernous sinus tumour

Coherent modeling of longitudinal causal effects on binary outcomes

Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes

Estimation of local treatment effects under the binary instrumental variable model

Randomized trials analyzed as observational studies

A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference

A formal causal interpretation of the case‐crossover design

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