Influence of Pattern of Missing Data on Performance of Imputation Methods: An Example from National Data on Drug Injection in Prisons

Influence of Pattern of Missing Data on Performance of Imputation Methods: An Example from National Data on Drug Injection in Prisons

Background Policy makers need models to be able to detect groups at high risk of HIV infection. Incomplete records and dirty data are frequently seen in national data sets. Presence of missing data challenges the practice of model development. Several studies suggested that performance of imputation...

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Bibliographic Details
Main Authors: Mohammad Reza Baneshi, Azam Rastegari, Ali-Akbar Haghdoost, Saiedeh Haji-Maghsoudi
Format: Article
Language:English
Published: Kerman University of Medical Sciences 2013-05-01
Series:International Journal of Health Policy and Management
Subjects:
Missing Data
Mice
Expectation Maximum Algorithm
Drug Injection
National Data
Online Access:http://ijhpm.com/?_action=showPDF&article=2568&_ob=df7026e4644cd5d67b96954a88a47c2a&fileName=full_text.pdf.

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http://ijhpm.com/?_action=showPDF&article=2568&_ob=df7026e4644cd5d67b96954a88a47c2a&fileName=full_text.pdf.

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