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An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm - MaRDI portal

An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm (Q2103281)

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scientific article; zbMATH DE number 7632470
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English
An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm
scientific article; zbMATH DE number 7632470

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    An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm (English)
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    13 December 2022
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    missing data
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    multiple imputation
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    maximum likelihood estimation
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    random forest algorithm
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    latent interaction model
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