Blog Archives

Multiple imputation for three-level and cross-classified data

January 2, 2019
By
Multiple imputation for three-level and cross-classified data

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. In this post, I show and explain how to conduct MI...

Read more »

Dealing with missing data in ANOVA models

June 24, 2018
By
Dealing with missing data in ANOVA models

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 to deal with missing data in between- and within-subject designs using...

Read more »

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)