An application of collaborative targeted maximum likelihood estimation in causal inference and genomics
From MaRDI portal
Publication:6644605
DOI10.2202/1557-4679.1182zbMATH Open1548.62087MaRDI QIDQ6644605
Susan Gruber, Mark Johannes van der Laan
Publication date: 27 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10) Causal inference from observational studies (62D20)
Related Items (8)
Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials ⋮ Using longitudinal targeted maximum likelihood estimation in complex settings with dynamic interventions ⋮ Two-stage targeted maximum likelihood estimation for mixed aggregate and individual participant data analysis with an application to multidrug resistant tuberculosis ⋮ Targeted estimation of nuisance parameters to obtain valid statistical inference ⋮ Variable selection for confounder control, flexible modeling and collaborative targeted minimum loss-based estimation in causal inference ⋮ One-step targeted minimum loss-based estimation based on universal least favorable one-dimensional submodels ⋮ A generally efficient targeted minimum loss based estimator based on the highly adaptive Lasso ⋮ Review and comparison of treatment effect estimators using propensity and prognostic scores
This page was built for publication: An application of collaborative targeted maximum likelihood estimation in causal inference and genomics