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Targeted Learning in Data Science

Overview of attention for book
Cover of 'Targeted Learning in Data Science'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Research Questions in Data Science
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    Chapter 2 Defining the Model and Parameter
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    Chapter 3 Sequential Super Learning
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    Chapter 4 LTMLE
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    Chapter 5 One-Step TMLE
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    Chapter 6 Highly Adaptive Lasso (HAL)
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    Chapter 7 A Generally Efficient HAL-TMLE
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    Chapter 8 HAL Estimator of the Efficient Influence Curve
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    Chapter 9 Data-Adaptive Target Parameters
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    Chapter 10 C-TMLE for Continuous Tuning
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    Chapter 11 Targeted Estimation of Cumulative Vaccine Sieve Effects
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    Chapter 12 The Sample Average Treatment Effect
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    Chapter 13 Data-Adaptive Estimation in Cluster Randomized Trials
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    Chapter 14 Stochastic Treatment Regimes
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    Chapter 15 LTMLE with Clustering
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    Chapter 16 Comparative Effectiveness of Adaptive Treatment Strategies
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    Chapter 17 Mediation Analysis with Time-Varying Mediators and Exposures
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    Chapter 18 Online Super Learning
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    Chapter 19 Online Targeted Learning for Time Series
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    Chapter 20 Causal Inference in Longitudinal Network-Dependent Data
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    Chapter 21 Single Time Point Interventions in Network-Dependent Data
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    Chapter 22 Optimal Dynamic Treatment Rules
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    Chapter 23 Optimal Individualized Treatments Under Limited Resources
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    Chapter 24 Targeting a Simple Statistical Bandit Problem
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    Chapter 25 CV-TMLE for Nonpathwise Differentiable Target Parameters
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    Chapter 26 Higher-Order Targeted Loss-Based Estimation
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    Chapter 27 Sensitivity Analysis
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    Chapter 28 Targeted Bootstrap
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    Chapter 29 Targeted Learning Using Adaptive Survey Sampling
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    Chapter 30 The Predicament of Truth: On Statistics, Causality, Physics, and the Philosophy of Science
Overall attention for this book and its chapters
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Mentioned by

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62 tweeters
facebook
2 Facebook pages

Citations

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31 Dimensions

Readers on

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38 Mendeley
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Title
Targeted Learning in Data Science
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-65304-4
ISBNs
978-3-31-965304-4, 978-3-31-965303-7
Authors

Mark J. van der Laan, Sherri Rose, van der Laan, Mark J., Rose, Sherri

Twitter Demographics

The data shown below were collected from the profiles of 62 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Researcher 6 16%
Other 4 11%
Student > Master 4 11%
Student > Bachelor 3 8%
Other 7 18%
Unknown 3 8%
Readers by discipline Count As %
Mathematics 7 18%
Computer Science 6 16%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Other 9 24%
Unknown 6 16%