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Comment & Response |

Accounting for Missing Data in Clinical Research—Reply

Craig D. Newgard, MD, MPH1; Roger J. Lewis, MD, PhD2
[+] Author Affiliations
1Department of Emergency Medicine, Oregon Health and Science University, Portland
2Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance
JAMA. 2016;315(5):518. doi:10.1001/jama.2015.16470.
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In Reply Dr Stevens and colleagues highlight the KNN method and further the discussion about moving away from overly simplistic, biased methods for handling missing values. Our review of missing data methods was not exhaustive. For simplicity and clarity, we focused on methods that are more common in practice and readily available in statistical software packages. As a result, we omitted certain viable techniques for handling missing values (eg, KNN, hot-deck imputation, and maximum likelihood estimation).


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February 2, 2016
John R. Stevens, PhD; Anvar Suyundikov, PhD; Martha L. Slattery, PhD, MPH
1Department of Mathematics and Statistics, Utah State University, Logan
2BioStat Solutions Inc, Frederick, Maryland
3Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
JAMA. 2016;315(5):517-518. doi:10.1001/jama.2015.16461.
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