Imputation technique: replacing missing values in longitudin…

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  • DOI 10.18203/2394-6040.ijcmph20163351
  • OpenAlex ID W2527276392
  • Type Article
  • Language EN
  • Published 01 Jan 2016
  • Pages 2709–2711
  • Source International Journal of Community Medic…
  • Publisher Medip Academy
  • Added 07 Oct 2016
  • Updated 08 Sep 2026
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Imputation technique: replacing missing values in longitudinal data

Article 2016 EN Diamond

In longitudinal studies, many cases are found missing in the follow-up data. These missing cases may arise due to item non response or unit non response. A data set with missing observations is often completed by using imputed values. The unit non response is usually carried out by some weighting adjustment. The item non response is made by the method called imputation. Imputation is a technique t…

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1 H. Gladius Corresponding — —

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