Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-7857
Authors: | Hardt, Jochen Herke, Max Brian, Tamara Laubach, Wilfried |
Title: | Multiple imputation of missing data : a simulation study on a binary response |
Online publication date: | 5-Oct-2022 |
Year of first publication: | 2013 |
Language: | english |
Abstract: | Currently, a growing number of programs become available in statistical software for multiple imputation of missing values. Among others, two algorithms are mainly implemented: Expectation Maximization (EM) and Multiple Imputation by Chained Equations (MICE). They have been shown to work well in large samples or when only small proportions of missing data are to be imputed. However, some researchers have begun to impute large proportions of missing data or to apply the method to small samples. A simulation was performed using MICE on datasets with 50, 100 or 200 cases and four or eleven variables. A varying proportion of data (3% - 63%) was set as missing completely at random and subsequently substituted using multiple imputation by chained equations. In a logistic regression model, four coefficients, i.e. non-zero and zero main effects as well as non-zero and zero interaction effects were examined. Estimations of all main and interaction effects were unbiased. There was a considerable variance in the estimates, increasing with the proportion of missing data and decreasing with sample size. The imputation of missing data by chained equations is a useful tool for imputing small to moderate proportions of missing data. The method has its limits, however. In small samples, there are considerable random errors for all effects. |
DDC: | 610 Medizin 610 Medical sciences |
Institution: | Johannes Gutenberg-Universität Mainz |
Department: | FB 04 Medizin |
Place: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-7857 |
Version: | Published version |
Publication type: | Zeitschriftenaufsatz |
License: | CC BY |
Information on rights of use: | https://creativecommons.org/licenses/by/4.0/ |
Journal: | Open journal of statistics 3 5 |
Pages or article number: | 370 378 |
Publisher: | Scientific Research Publ. |
Publisher place: | Irvine, Calif. |
Issue date: | 2013 |
ISSN: | 2161-718X |
Publisher URL: | http://dx.doi.org/10.4236/ojs.2013.35043 |
Publisher DOI: | 10.4236/ojs.2013.35043 |
Appears in collections: | DFG-OA-Publizieren (2012 - 2017) |
Files in This Item:
File | Description | Size | Format | ||
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multiple_imputation_of_missin-20220913184905001.pdf | 411.84 kB | Adobe PDF | View/Open |