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Targeted Learning: Causal Inference for Observational and Experimental Data

1. Aufl., 2011

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Personalized online ensemble machine learning with applications for dynamic data streams

Statistics in medicine, 2023-03, Vol.42 (7), p.1013-1044

2023

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Parametric-Rate Inference for One-Sided Differentiable Parameters

Journal of the American Statistical Association, 2018-04, Vol.113 (522), p.780-788

2018

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Handbook of Big Data

1, 2016

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Scalable collaborative targeted learning for high-dimensional data

Statistical methods in medical research, 2019-02, Vol.28 (2), p.532-554

2019

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STATISTICAL INFERENCE FOR THE MEAN OUTCOME UNDER A POSSIBLY NON-UNIQUE OPTIMAL TREATMENT STRATEGY

The Annals of statistics, 2016-04, Vol.44 (2), p.713-742

2016

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Measuring changes in transmission of neglected tropical diseases, malaria, and enteric pathogens from quantitative antibody levels

PLoS neglected tropical diseases, 2017-05, Vol.11 (5), p.e0005616

2017

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Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation

The International Journal of Biostatistics, 2009-01, Vol.5 (1), p.1-Article 1

2009

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Causal Inference for Social Network Data

Journal of the American Statistical Association, 2024, Vol.119 (545), p.597-611

2024

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Online cross‐validation‐based ensemble learning

Statistics in medicine, 2018-01, Vol.37 (2), p.249-260

2018

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Use of a machine learning framework to predict substance use disorder treatment success

PloS one, 2017-04, Vol.12 (4), p.e0175383-e0175383

2017

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One‐step targeted maximum likelihood estimation for time‐to‐event outcomes

Biometrics, 2020-09, Vol.76 (3), p.722-733

2020

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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study

The lancet respiratory medicine, 2015, Vol.3 (1), p.42-52

2015

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Population intervention models in causal inference

Biometrika, 2008-03, Vol.95 (1), p.35-47

2008

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Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability–Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects

American journal of epidemiology, 2022-08, Vol.191 (9), p.1640-1651

2022

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Estimation of time‐specific intervention effects on continuously distributed time‐to‐event outcomes by targeted maximum likelihood estimation

Biometrics, 2023-12, Vol.79 (4), p.3038-3049

2023

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Diagnosing and responding to violations in the positivity assumption

Statistical methods in medical research, 2012-02, Vol.21 (1), p.31-54

2012

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Dimension reduction with gene expression data using targeted variable importance measurement

BMC bioinformatics, 2011-07, Vol.12 (1), p.312-312, Article 312

2011

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Nonparametric inverse‐probability‐weighted estimators based on the highly adaptive lasso

Biometrics, 2023-06, Vol.79 (2), p.1029-1041

2023

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Adaptive pre-specification in randomized trials with and without pair-matching

Statistics in medicine, 2016-11, Vol.35 (25), p.4528-4545

2016

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Efficient targeted learning of heterogeneous treatment effects for multiple subgroups

Biometrics, 2023-09, Vol.79 (3), p.1934-1946

2023

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Adaptive sequential surveillance with network and temporal dependence

Biometrics, 2024-01, Vol.80 (1)

2024

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Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics

Journal of the American Statistical Association, 2020, Vol.115 (532), p.1917-1932

2020

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Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data

Statistical methods in medical research, 2019-04, Vol.28 (4), p.1044-1063

2019

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An omnibus non-parametric test of equality in distribution for unknown functions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-02, Vol.81 (1), p.75-99

2019

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Targeted Learning: Causal Inference for Observational and Experimental Data

Personalized online ensemble machine learning with applications for dynamic data streams

Parametric-Rate Inference for One-Sided Differentiable Parameters

Handbook of Big Data

Scalable collaborative targeted learning for high-dimensional data

STATISTICAL INFERENCE FOR THE MEAN OUTCOME UNDER A POSSIBLY NON-UNIQUE OPTIMAL TREATMENT STRATEGY

Measuring changes in transmission of neglected tropical diseases, malaria, and enteric pathogens from quantitative antibody levels

Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation

Causal Inference for Social Network Data

Online cross‐validation‐based ensemble learning

Use of a machine learning framework to predict substance use disorder treatment success

One‐step targeted maximum likelihood estimation for time‐to‐event outcomes

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study

Population intervention models in causal inference

Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability–Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects

Estimation of time‐specific intervention effects on continuously distributed time‐to‐event outcomes by targeted maximum likelihood estimation

Diagnosing and responding to violations in the positivity assumption

Dimension reduction with gene expression data using targeted variable importance measurement

Nonparametric inverse‐probability‐weighted estimators based on the highly adaptive lasso

Adaptive pre-specification in randomized trials with and without pair-matching

Efficient targeted learning of heterogeneous treatment effects for multiple subgroups

Adaptive sequential surveillance with network and temporal dependence

Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics

Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data

An omnibus non-parametric test of equality in distribution for unknown functions

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