Doubly robust estimation with the R package \texttt{drgee}

DOI10.1515/em-2014-0021zbMath1343.62002OpenAlexW2567099829MaRDI QIDQ306817

Johan Zetterqvist, Arvid Sjölander

Publication date: 1 September 2016

Published in: Epidemiologic Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/em-2014-0021

zbMATH Keywords

mediationconfoundinggeneralized estimating equationgeneralized linear modeldoubly robust estimation

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (3)

Doubly robust estimation with the R package \texttt{drgee} ⋮ Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding ⋮ drgee

Uses Software

• R
• SPSS
• car
• SAS
• geepack
• carData

Cites Work

• Doubly Robust Estimation in Missing Data and Causal Inference Models
• Doubly robust estimation with the R package \texttt{drgee}
• On protected estimation of an odds ratio model with missing binary exposure and confounders
• Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
• On doubly robust estimation in a semiparametric odds ratio model

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