Multiple-Imputation Inferences with Uncongenial Sources of Input

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Meng, Xiao-Li. “Multiple-Imputation Inferences With Uncongenial Sources of Input”. Statistical Science, vol. 9, no. 4, 1994, https://doi.org/10.1214/ss/1177010269.
Meng, X.-L. (1994). Multiple-Imputation Inferences with Uncongenial Sources of Input. Statistical Science, 9(4). https://doi.org/10.1214/ss/1177010269
Meng, Xiao-Li. “Multiple-Imputation Inferences With Uncongenial Sources of Input”. Statistical Science 9, no. 4 (1994). https://doi.org/10.1214/ss/1177010269.
Meng XL. Multiple-Imputation Inferences with Uncongenial Sources of Input. Statistical Science. 1994;9(4).
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Mathematics
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Mathematics
Probabilities
Mathematical statistics
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Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics234
Science: Mathematics145
Medicine: Medicine (General): Computer applications to medicine. Medical informatics131
Science: Biology (General)131
Social Sciences107
Medicine: Medicine (General): Medical technology98
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Medicine6
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Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Science: Science (General): Cybernetics: Information theory1
The category Science: Mathematics: Probabilities. Mathematical statistics 234 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Partially parametric techniques for multiple imputation and was published in 1996. The most recent citation comes from a 2024 study titled Distributional imputation for the analysis of censored recurrent events. This article reached its peak citation in 2013, with 34 citations. It has been cited in 147 different journals, 16% of which are open access. Among related journals, the Statistics in Medicine cited this research the most, with 61 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year