Application of Logistic Regression with Misclassified Variables in Diabetes Data

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RASTEGAR MARYAM; HOSSEINZADEH SAMANEH; BAKHSHI ENAYATOLLAH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF HEALTH PROMOTION MANAGEMENT (JHPM) Year:2018 | Volume:7 | Issue:2 Page(s): 27-34

Download Full-Text

Persian Verion

View:

781

Download:

Cites:

Information Journal Paper

Title

Application of Logistic Regression with Misclassified Variables in Diabetes Data

Author(s)

RASTEGAR MARYAM | HOSSEINZADEH SAMANEH | BAKHSHI ENAYATOLLAH | Issue Writer Certificate

Keywords

Logistic RegressionQ1

MisclassificationQ1

Odds RatioQ2

DiabetesQ2

Abstract

Introduction: The analysis of classified data in statistics and medical sciences is very important. If the binary response variable is misclassified, the results of fitting the model, will be skewed with false interpretation. The aim of this study was the application of Logistic Regression with misclassified variables in Diabetes data. Methods: In this descriptive study, data from 819 participants in the Diabetes screening program at Zahedan Health Center in 2014 were used. Type 2 Diabetes was studied in two ways. At first, by testing normal blood glucose (without fasting), the lack of correlation between type 2 Diabetes and blood pressure was determined by Logistic Regression and Odds Ratios, and then a fasting blood glucose test was used for validation, which revealed significant results. False classification was considered based on the level of blood glucose due to low sensitivity and specificity of blood glucose test. To correct the classification error, the likelihood ratio method was used to estimate the coefficients. Data analysis was done using the software SAS version 9. 1. 3 and procedure NLMIXED with a significance level of 0. 05. Results: The correlation coefficient changed the Odds Ratio of Diabetes in the blood pressure variable from 0. 227 to 1. 20, significantly (P < 0. 001). In addition, other model variables were modified. Conclusions: Logistic Regression for data with error classification can be used as a suitable method for analyzing data with classification error. Validation using Logistic Regression for classification error data showed that high blood pressure has a significant effect on Diabetes. It is suggested that the Logistic Regression method should be used in order to correct the Odds Ratio in view of the probability of classification error in the screening data.

Cites

No record.

References

Corrected ROC analysis for misclassified binary outcomes

Cite

APA: Copy

RASTEGAR, MARYAM, HOSSEINZADEH, SAMANEH, & BAKHSHI, ENAYATOLLAH. (2018). Application of Logistic Regression with Misclassified Variables in Diabetes Data. JOURNAL OF HEALTH PROMOTION MANAGEMENT (JHPM), 7(2 ), 27-34. SID. https://sid.ir/paper/215764/en

Vancouver: Copy

RASTEGAR MARYAM, HOSSEINZADEH SAMANEH, BAKHSHI ENAYATOLLAH. Application of Logistic Regression with Misclassified Variables in Diabetes Data. JOURNAL OF HEALTH PROMOTION MANAGEMENT (JHPM)[Internet]. 2018;7(2 ):27-34. Available from: https://sid.ir/paper/215764/en

IEEE: Copy

MARYAM RASTEGAR, SAMANEH HOSSEINZADEH, and ENAYATOLLAH BAKHSHI, “Application of Logistic Regression with Misclassified Variables in Diabetes Data,” JOURNAL OF HEALTH PROMOTION MANAGEMENT (JHPM), vol. 7, no. 2 , pp. 27–34, 2018, [Online]. Available: https://sid.ir/paper/215764/en

Related Journal Papers