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Hack—Best Practices for Addressing Missing Data through Multiple Imputation

Year: 2021

Type: preprint

Abstract: Hackathon products from the SIPS 2021 annual meeting. We welcomed to this session anyone who has ever thought about missing data or who wants to learn more. Our goal was to collectively procure a list of resources, decisional guidelines, and software code on multiple imputation and missing data.

DOI: 10.17605/osf.io/j3f8m

Authors: Adrienne D. Woods, Jessica Logan, Pamela Davis-Kean, Kevin King, Max Andrew Halvorson, Menglin Xu

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3203425860

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