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302209

A Comparatively Studies for Missing Data in Regression Analysis

Article

Last updated: 28 Dec 2024

Subjects

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Tags

الاحصاءات المرتبة والقيم القياسية
النماذج الخطية

Abstract

The statistical analysis with missing data is an important applied problem because missing data are commonly encountered in practice and most data analysis procedures were not designed for missing data. In this paper, we introduce a recent comparison for the methodologies that handle missing data problems. Some real examples of missing data problems, the pattern of missing data and the mechanisms that lead to missing data will be introduced in the case of regression analysis. A comparative study among the complete case (CC) method, the available case (AC) method, the least squares (LS) on imputed data and the maximum likelihood (ML) are presented. A real data and GPA scores for undergraduate students, College of Administrative Sciences at King Saud University in 1998, is used to make an artificial missing data in three different types of the mechanisms: Missing At Random (MAR), Missing Completely At Random (MCAR), and Missing Not At Random (MNAR). Then we reanalyze the new data set, using a Monte Carlo simulation, for the different methods to make some comparisons.
 
 

DOI

10.21608/mskas.2004.302209

Keywords

Missing Data, Imputed Data, Regression Analysis, Simulation Studies

Authors

First Name

Ahmed

Last Name

H. Youssef

MiddleName

-

Affiliation

Institute of Statistical Studies and Research at the University of Cairo

Email

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City

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Orcid

-

Volume

37

Article Issue

1

Related Issue

41670

Issue Date

2004-06-01

Receive Date

2023-06-05

Publish Date

2004-06-01

Page Start

33

Page End

47

Print ISSN

1110-1156

Online ISSN

2786-0078

Link

https://mskas.journals.ekb.eg/article_302209.html

Detail API

https://mskas.journals.ekb.eg/service?article_code=302209

Order

4

Type

المقالة الأصلية

Type Code

1,913

Publication Type

Journal

Publication Title

المجلة المصرية للسکان وتنظيم الأسرة

Publication Link

https://mskas.journals.ekb.eg/

MainTitle

A Comparatively Studies for Missing Data in Regression Analysis

Details

Type

Article

Created At

28 Dec 2024