Confounder selection via penalized credible regions

DOI10.1111/biom.12203zbMath1393.62107OpenAlexW1514477105WikidataQ44875000 ScholiaQ44875000MaRDI QIDQ3465362

Ander Wilson, Brian J. Reich

Publication date: 21 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12203

zbMATH Keywords

consistencyvariable selectioncredible regionconfounder selectiondecision-theoretic approachadjustment uncertainty

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Compound decision problems in statistical decision theory (62C25)

Related Items (11)

Model averaged double robust estimation ⋮ Bayesian additive regression trees in spatial data analysis with sparse observations ⋮ Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference ⋮ A causal exposure response function with local adjustment for confounding: estimating health effects of exposure to low levels of ambient fine particulate matter ⋮ Neighborhood-based cross fitting approach to treatment effects with high-dimensional data ⋮ Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution ⋮ Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family ⋮ Regularization and confounding in linear regression for treatment effect estimation ⋮ Introduction to double robust methods for incomplete data ⋮ High-dimensional confounding adjustment using continuous Spike and Slab priors ⋮ Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths

Uses Software

• OSCAR

Cites Work

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