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302251

Toward a Proper Statistical Analysis for Morbidity Data

Article

Last updated: 05 Jan 2025

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الإحصاء الحيوي
النماذج الخطية

Abstract

This paper shows how to study statistical factors affecting morbidity. The study includes the proper statistical model, estimation of its parameters as well as predication of the new values. In addition, the paper compares regular statistical models' results with the results obtained from the proper model. Data for Rheumatoid arthritis disease were used to estimate the probability of improvement given some risk factors.

DOI

10.21608/mskas.2000.302251

Keywords

Linear Regression, Logistic regression, morbidity, Rheumatoid arthritis disease

Authors

First Name

Mohiy El-Din

Last Name

Mohammed Sayed Ahmed

MiddleName

-

Affiliation

PhD Student at Institute of Statistical studies and Research (ISSR) - Cairo University

Email

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City

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Orcid

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Volume

33

Article Issue

2

Related Issue

41684

Issue Date

2000-12-01

Receive Date

2023-06-06

Publish Date

2000-12-01

Page Start

49

Page End

56

Print ISSN

1110-1156

Online ISSN

2786-0078

Article File

MSKAS_Volume 33_Issue 2_Pages 49-56.pdf

PDF . 5.3MB

Link

https://mskas.journals.ekb.eg/article_302251.html

Detail API

https://mskas.journals.ekb.eg/service?article_code=302251

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3

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

Toward a Proper Statistical Analysis for Morbidity Data

Details

Type

Article

Created At

28 Dec 2024