A comparison of model-based imputation methods for handling missing predictor values in a linear regression model: A simulation study

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A comparison of model-based imputation methods for handling missing predictor values in a linear regression model: A simulation study

In regression analysis, missing covariate data has been a common problem. Many researchers use ad hoc methods to overcome this problem due to the ease of implementation. However, these methods require assumptions about the data that rarely hold in practice. Model-based methods such as Maximum Likeli...

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Bibliographic Details
Published in:	AIP Conference Proceedings
Main Author:	Hasan H.; Ahmad S.; Osman B.M.; Sapri S.; Othman N.
Format:	Conference paper
Language:	English
Published:	American Institute of Physics Inc. 2017
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028346649&doi=10.1063%2f1.4995930&partnerID=40&md5=92f9ba68656bd545d34b8ab0716797e9

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