Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching

Kleinke K (2017)
Journal of Educational and Behavioral Statistics.

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Zeitschriftenaufsatz | Elektronische Veröffentlichung vor dem Druck | Englisch
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Journal of Educational and Behavioral Statistics
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Kleinke K. Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics. 2017.
Kleinke, K. (2017). Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics. doi:10.3102/1076998616687084
Kleinke, K. (2017). Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics.
Kleinke, K., 2017. Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics.
K. Kleinke, “Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching”, Journal of Educational and Behavioral Statistics, 2017.
Kleinke, K.: Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics. (2017).
Kleinke, Kristian. “Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching”. Journal of Educational and Behavioral Statistics (2017).