Statistical Research on Missing Data and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 1266
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue is focused on the topic of statistical research on missing data and applications. Papers related to the theoretical or methodological aspects of statistical methods for dealing with missing data, as well as papers focused on the application of analyzing data with missing values, are welcome to be submitted to this Special Issue. Analytic recommendations for practitioners in a particular field or for particular types of data are also encouraged.
The topics of interest of this Special Issue include, but are not limited to, the following:
- Imputation-based methods for dealing with missing data;
- Weight-based methods for dealing with missing data;
- Missing data mechanisms;
- Analyses under missing not at random (MNAR) assumptions;
- Longitudinal analysis with missing data;
- High-dimensional data with missing values;
- Bayesian inference;
- Causal inference.
Dr. Soeun Kim
Guest Editor
Manuscript Submission Information
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