Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data

DOI10.1214/14-AOAS727zbMath1454.62397arXiv1407.8371WikidataQ30878107 ScholiaQ30878107MaRDI QIDQ400589

Mireille E. Schnitzer, Robert W. Platt, Erica E. M. Moodie

Publication date: 22 August 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1407.8371

zbMATH Keywords

missing datacausal inferenceinverse probability weightingG-computationmarginal effectspediatrics

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data ⋮ Modeling the impact of hepatitis C viral clearance on end‐stage liver disease in an HIV co‐infected cohort with targeted maximum likelihood estimation

Uses Software

• Unnamed Item
• MASS (R)
• gam
• ipred
• earth
• SuperLearner

Cites Work

• Doubly Robust Estimation in Missing Data and Causal Inference Models
• Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data
• Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
• Bayesian inference for causal effects: The role of randomization
• Unified methods for censored longitudinal data and causality
• Semiparametric theory and missing data.
• Statistical Analysis of Financial Data in S-Plus
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect

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