Randomly and Non-Randomly Missing Renal Function Data in the Strong Heart Study: A Comparison of Imputation Methods

• Nawar Shara ,

  * E-mail: Nawar.Shara@MedStar.net

  Affiliations MedStar Health Research Institute, Hyattsville, Maryland, United States of America, Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, United States of America

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• Sayf A. Yassin,

  Affiliation MedStar Health Research Institute, Hyattsville, Maryland, United States of America

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• Eduardas Valaitis,

  Affiliation Department of Mathematics and Statistics, American University, Washington, District of Columbia, United States of America

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• Hong Wang,

  Affiliations MedStar Health Research Institute, Hyattsville, Maryland, United States of America, Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, United States of America

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• Barbara V. Howard,

  Affiliations MedStar Health Research Institute, Hyattsville, Maryland, United States of America, Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, United States of America

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• Wenyu Wang,

  Affiliation College of Public Health, University of Oklahoma, Oklahoma City, Oklahoma, United States of America

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• Elisa T. Lee,

  Affiliation College of Public Health, University of Oklahoma, Oklahoma City, Oklahoma, United States of America

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• Jason G. Umans

  Affiliations MedStar Health Research Institute, Hyattsville, Maryland, United States of America, Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, United States of America

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