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Skip search results from other journals and go to results- 2 JMIR Medical Informatics
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One recent study has shown that regression imputation performs as well as multiple imputation when the ultimate goal is prediction rather than statistical inference or model interpretation [11]. Another study found that for logistic regression, regression imputation was comparable with multiple imputation in terms of model performance with a low percentage of missingness [12]. However, none of the imputation methods are unbiased or recommended for nonignorable missing data.
JMIR Med Inform 2025;13:e64354
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We examined missing race and ethnicity information in chlamydia and gonorrhea surveillance data from 2007 to 2018 and used 5 imputation strategies to explore how missing demographic information could have impacted our measurement of racial and ethnic disparities.
JMIR Public Health Surveill 2022;8(11):e38037
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Additionally, since it is a single imputation replacing only one value, the accuracy may be degraded when the missing rate of the data is large. The multiple imputation (MI) [3] method compensates for this shortcoming of single imputation. In MI, several imputed values are statistically analyzed and used. MI works under missing at random (MAR) [4] conditions. MICE is one of the MI algorithms.
JMIR Public Health Surveill 2021;7(10):e30824
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In a remote health care setting, many potentially useful variables for imputing weight data may not be collected (eg, information on psychology and behavior or physiological features), in which case univariate imputation may be necessary. The imputation of univariate TS data lends itself to a limited number of techniques that have been reviewed previously [30].
In total, 7 univariate imputation algorithms and 3 multivariate analyses were run on all missingness-simulated data sets.
JMIR Mhealth Uhealth 2020;8(9):e17977
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Mean imputation is a method of replacing a missing value with the mean value from the other instances of valid data at that time [26]. For example, if there is a value missing at 12:30 PM in a certain record, the missing value is replaced with the mean of the values from 12:30 PM in the other records. Mean imputation, algorithms were written in Python.
JMIR Mhealth Uhealth 2020;8(7):e16113
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Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis
Using our simulated datasets (simulations 1-4), we compared 18 common imputation methods (12 representative methods are shown in the figures below) from the fancyimpute [14] and the Multivariate Imputation by Chained Equations (MICE v2.30) [15] packages. Multimedia Appendix 1 (table) shows a full list of imputation methods and the parameters used for each.
Our first step was to select a subset of the 143 laboratory measures for which imputation would be a reasonable approach.
JMIR Med Inform 2018;6(1):e11
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