Modeling the impact of hepatitis C viral clearance on end‐stage liver disease in an HIV co‐infected cohort with targeted maximum likelihood estimation

DOI10.1111/biom.12105zbMath1419.62435OpenAlexW1501519563WikidataQ37637357 ScholiaQ37637357MaRDI QIDQ4979239

Mireille E. Schnitzer, Marina B. Klein, Erica E. M. Moodie, Robert W. Platt, Mark J. Van der Laan

Publication date: 17 June 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3954273

zbMATH Keywords

longitudinal datasurvival analysisKaplan-Meiermarginal structural modelinverse probability of treatment weightingtargeted maximum likelihood estimationdouble-robust

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (2)

Parametric g‐formula implementations for causal survival analyses ⋮ Evaluating the impact of a HIV low-risk express care task-shifting program: a case study of the targeted learning roadmap

Uses Software

• sandwich
• MICE

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
• Implementing a class of structural change tests: an econometric computing approach
• Addendum to ``A new approach to causal inference in mortality studies with a sustained exposure period. Application to control of the healthy worker survivor effect
• Unified methods for censored longitudinal data and causality
• Multiple Imputation Methods for Treatment Noncompliance and Nonresponse in Randomized Clinical Trials
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• Direct and Indirect Causal Effects via Potential Outcomes*
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse

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