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Targeted Learning

Overview of attention for book
Cover of 'Targeted Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Open Problem
  3. Altmetric Badge
    Chapter 2 Defining the Model and Parameter
  4. Altmetric Badge
    Chapter 3 Super Learning
  5. Altmetric Badge
    Chapter 4 Introduction to TMLE
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    Chapter 5 Understanding TMLE
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    Chapter 6 Why TMLE?
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    Chapter 7 Bounded Continuous Outcomes
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    Chapter 8 Direct Effects and Effect Among the Treated
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    Chapter 9 Marginal Structural Models
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    Chapter 10 Positivity
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    Chapter 11 Robust Analysis of RCTs Using Generalized Linear Models
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    Chapter 12 Targeted ANCOVA Estimator in RCTs
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    Chapter 13 Independent Case-Control Studies
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    Chapter 14 Why Match? Matched Case-Control Studies
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    Chapter 15 Nested Case-Control Risk Score Prediction
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    Chapter 16 Super Learning for Right-Censored Data
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    Chapter 17 RCTs with Time-to-Event Outcomes
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    Chapter 18 RCTs with Time-to-Event Outcomes and Effect Modification Parameters
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    Chapter 19 C-TMLE of an Additive Point Treatment Effect
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    Chapter 20 C-TMLE for Time-to-Event Outcomes
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    Chapter 21 Propensity-Score-Based Estimators and C-TMLE
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    Chapter 22 Targeted Methods for Biomarker Discovery
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    Chapter 23 Finding Quantitative Trait Loci Genes
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    Chapter 24 Case Study: Longitudinal HIV Cohort Data
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    Chapter 25 Probability of Success of an In Vitro Fertilization Program
  27. Altmetric Badge
    Chapter 26 Individualized Antiretroviral Initiation Rules
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    Chapter 27 Cross-Validated Targeted Minimum-Loss-Based Estimation
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    Chapter 28 Targeted Bayesian Learning
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    Chapter 29 TMLE in Adaptive Group Sequential Covariate-Adjusted RCTs
  31. Altmetric Badge
    Chapter 30 Foundations of TMLE
  32. Altmetric Badge
    Chapter 31 Introduction to R Code Implementation
Attention for Chapter 27: Cross-Validated Targeted Minimum-Loss-Based Estimation
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Chapter title
Cross-Validated Targeted Minimum-Loss-Based Estimation
Chapter number 27
Book title
Targeted Learning
Published by
Springer New York, June 2011
DOI 10.1007/978-1-4419-9782-1_27
Book ISBNs
978-1-4419-9781-4, 978-1-4419-9782-1
Authors

Wenjing Zheng, Mark J. van der Laan

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 3 25%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Unknown 4 33%
Readers by discipline Count As %
Mathematics 3 25%
Medicine and Dentistry 2 17%
Decision Sciences 1 8%
Agricultural and Biological Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 4 33%