Articles by Simon Grund [R]

Multiple imputation for three-level and cross-classified data

January 2, 2019 | 0 Comments

Multiple imputation (MI) of missing values in hierarchical data can be tricky when the data do not have a simple two-level structure. In such a case, understanding and accounting for the hierarchical structure of the data can be challenging, and tools to handle these types of data are relatively rare. ...
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Dealing with missing data in ANOVA models

June 24, 2018 | 0 Comments

The analysis of variance, or ANOVA, is among the most popular methods for analyzing how an outcome variable differs between groups, for example, in observational studies or in experiments with different conditions. But how do we conduct the ANOVA when there are missing data? In this post, I show how ...
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