Variable selection when missing values are present: a case study

DOI10.1177/0962280209358003zbMath1414.62453OpenAlexW2053638510WikidataQ84155871 ScholiaQ84155871MaRDI QIDQ4924360

Peter A. Lachenbruch

Publication date: 31 May 2013

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/0962280209358003

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Diagnostics, and linear inference and regression (62J20)

Related Items (4)

Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods ⋮ Variable selection techniques after multiple imputation in high-dimensional data ⋮ Imputation and post-selection inference in models with missing data: an application to colorectal cancer surveillance guidelines ⋮ A comparison of model selection methods for prediction in the presence of multiply imputed data

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