Multiple Imputation in Practice

By Nicholas J. Horton, Stuart R. Lipsitz. 2001

558 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e3d41fa6390ed22e981cd6a7d75f1d1d1c7d4953

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Citations in the corpus

Much Ado About Nothing (2007, methodology): “In this article, we update the prior review of Horton and Lipsitz (2001) and apply methods described by Ibrahim et al. (2005) to the logistic regression analysis of a dataset with incompleteness on four variables (both categorical and continuous) using a variety of software packages.”
Multiple imputation: review of theory, implementation and software (2007, background): “Some of these programs are reviewed and compared by Horton and Lipsitz [57].”
When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts (2017, background): “Five imputed datasets have traditionally been suggested to be sufficient on theoretical grounds, but 50 datasets (or more) seem preferable to reduce sampling variability from the imputation process [4, 21, 22].”
Missing Data in Educational Research: A Review of Reporting Practices and Suggestions for Improvement (2004, unknown): “However, a number of accessible introductions to MI are available in the literature (Graham & Hofer, 2000; Schafer & Graham, 2002; Sinharay, Stern, & Russell, 2001); and Horton and Lipsitz (2001) provide an overview of MI software packages.”
Multiple imputation using chained equations: Issues and guidance for practice (2011, result): “Instead, as data analysts, we want to be confident that a repeat analysis of the same data would produce essentially the same results [13, 36].”
Principled missing data methods for researchers (2013, result): “These findings are consistent with those reported in the literature and thus confirm the recommendations of the three principled methods (Allison 2003; Horton and Lipsitz 2001; Kenward and Carpenter 2007; Peng et al. 2006; Peugh and Enders 2004; Schafer and Graham 2002).”
Multiple Imputation: Theory and Method (2003, methodology): “In this case, Horton & Lipsitz (2001) suggested that a closer investigation should be conducted.”