Targeted learning : causal inference for observational and experimental data
The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can...
Na minha lista:
| Auteurs principaux: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2011. |
| Colecção: | Springer Series in Statistics
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| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 15 mai 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Targeted learning, causal inference for observational and experimental data, Mark van der Laan, Sherri Rose, 2011, New York, Springer, 1 vol. (XIV-626 p.), Springer series in statistics, 978-1-441-99781-4 |
Sumário:
- Models, Inference, and Truth The Open Problem Defining the Model and Parameter Super Learning Introduction to TMLE Understanding TMLE Why TMLE? Bounded Continuous Outcomes Direct Effects and Effect Among the Treated Marginal Structural Models Positivity Robust Analysis of RCTs Using Generalized Linear Models Targeted ANCOVA Estimator in RCTs Independent Case-Control Studies Why Match? Matched Case-Control Studies Nested Case-Control Risk Score Prediction Super Learning for Right-Censored Data RCTs with Time-to-Event Outcomes RCTs with Time-to-Event Outcomes and Effect Modification Parameters C-TMLE of an Additive Point Treatment Effect C-TMLE for Time-to-Event Outcomes Propensity-Score-Based Estimators and C-TMLE Targeted Methods for Biomarker Discovery Finding Quantitative Trait Loci Genes Case Study: Longitudinal HIV Cohort Data Probability of Success of an In Vitro Fertilization Program Individualized Antiretroviral Initiation Rules Cross-Validated Targeted Minimum-Loss-Based Estimation Targeted Bayesian Learning TMLE in Adaptive Group Sequential Covariate Adjusted RCTs Foundations of TMLE Introduction to R Code Implementation