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Cross-platform metabolomics imputation using importance-weighted autoencoders. [PDF]
NPJ Syst Biol ApplSmith A +5 more
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Change of <i>d</i>-irection: current limitations and future directions in psychological meta-analysis. [PDF]
Front PsycholAlfarone I, Gondan M.
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Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines.
JMIR Hum FactorsEstrella T +3 more
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WIREs Computational Statistics, 2012
AbstractMissing data are a common problem in statistics. Imputation, or filling in the missing values, is an intuitive and flexible way to address the resulting incomplete data sets. We focus on multiple imputation, which, when implemented correctly, can be a statistically valid strategy for handling missing data.
Rässler, Susanne +2 more
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AbstractMissing data are a common problem in statistics. Imputation, or filling in the missing values, is an intuitive and flexible way to address the resulting incomplete data sets. We focus on multiple imputation, which, when implemented correctly, can be a statistically valid strategy for handling missing data.
Rässler, Susanne +2 more
openaire +2 more sources
Scandinavian Journal of Statistics, 1998
The method of likelihood imputation is devised under the framework of latent structure models where the observation is a statistic of the complete data which can only be specified on a latent basis. The imputed data set is chosen to differ least from the observed one in their information contents—a concept with general implications for the analysis of ...
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The method of likelihood imputation is devised under the framework of latent structure models where the observation is a statistic of the complete data which can only be specified on a latent basis. The imputed data set is chosen to differ least from the observed one in their information contents—a concept with general implications for the analysis of ...
openaire +3 more sources
Abstract This chapter underscores the importance of being able to the norms of practical philosophy in concrete circumstances, particularly as relevant to Kant’s moral theory as expounded in the Groundwork and second Critique. Notably absent in these works is a comprehensive theory or even reflection on the application of moral laws ...
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Compatibility in imputation specification
Behavior Research Methods, 2022Missing data such as data missing at random (MAR) are unavoidable in real data and have the potential to undermine the validity of research results. Multiple imputation is one of the most widely used MAR-based methods in education and behavioral science applications.
Han, Du +3 more
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