A semiparametric model selection criterion with applications to the marginal structural model

DOI10.1016/j.csda.2004.08.013zbMath1431.62107OpenAlexW2087373687MaRDI QIDQ959174

M. Alan Brookhart, Mark J. Van der Laan

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1070&context=ucbbiostat

zbMATH Keywords

model selectionsemiparametric modelnuisance parametercensored datacross validationcausal inference

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items

The effect of the prior distribution in the \textit{Bayesian Adjustment for Confounding} algorithm, A cross-validation deletion-substitution-addition model selection algorithm: application to marginal structural models, Efficient semiparametric estimation and model selection for multidimensional mixtures, Introduction to double robust methods for incomplete data, On model selection and model misspecification in causal inference

Uses Software

• R

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