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Targeted Learning

Overview of attention for book
Cover of 'Targeted Learning'

Table of Contents

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    Book Overview
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    Chapter 1 The Open Problem
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    Chapter 2 Defining the Model and Parameter
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    Chapter 3 Super Learning
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    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
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    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
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    Chapter 30 Foundations of TMLE
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    Chapter 31 Introduction to R Code Implementation
Attention for Chapter 27: Cross-Validated Targeted Minimum-Loss-Based Estimation
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