Predicting the Survival of AIDS Patients Using Two Frameworks of Statistical Joint Modeling and Comparing Their Predictive Accuracy

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.

KHORASHADIZADEH FATEMEH; TABESH HAMED; PARSAEIAN MAHBOUBEH; ESMAILY HABIBOLLAH; RAHIMI FOROUSHANI ABBAS

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

Journal Paper

Paper Information

Journal: Iranian Journal of Public Health Year:2020 | Volume:49 | Issue:5 Page(s): 949-958

Download Full-Text

View:

141

Download:

128

Cites:

Information Journal Paper

Title

Predicting the Survival of AIDS Patients Using Two Frameworks of Statistical Joint Modeling and Comparing Their Predictive Accuracy

Author(s)

Keywords

ROC curve

HIV

Joint latent class model

Shared random effect model

Abstract

Background: The present study aimed to estimate the survival of HIV-positive patients and compare the accuracy of two commonly used models, Shared Random-Effect Model (SREM) and Joint latent class model (JLCM) for the analysis of time to death among these patients. Methods: Data on a retrospective survey among HIV-positive patients diagnosed during 1989-2014 who referred to the Behavioral Diseases Consultation Center of Mashhad University of Medical Sciences was used in this study. Participants consisted of HIV-positive high-risk volunteers, referrals of new HIV cases from prisons, blood transfusion organization and hospitals. Subjects were followed from diagnosis until death or the end of study. SREM and JLCM were used to predict the survival of HIV/AIDS patients. In both models age, sex and addiction were included as covariates. To compare the accuracy of these alternative models, dynamic predictions were calculated at specific time points. The receiver operating characteristic (ROC) curve was used to select the more accurate model. Results: Overall, 213 patients were eligible that met entry conditions for the present analysis. Based on BIC criteria, three heterogeneous sub-populations of patients were identified by JLCM and individuals were categorized in these classes (“ High Risk” , “ Moderate Risk” and “ Low Risk” ) according to their health status. JLCM had a better predictive accuracy than SREM. The average area under ROC curve for JLCM and SREM was 0. 75 and 0. 64 respectively. In both models CD4 count decreased with time. Based on the result of JLCM, men had higher hazard rate than women and the CD4 counts levels of patients decreased with increasing age. Conclusion: Predicting risk of death (or survival) is vital for patients care in most medical research. In a heterogeneous population, such as HIV-positive patients fitting JLCM can significantly improve the accuracy of the risk prediction. Therefore, this model is preferred for these populations.

Cites

No record.

References

No record.

Cite

APA: Copy

KHORASHADIZADEH, FATEMEH, TABESH, HAMED, PARSAEIAN, MAHBOUBEH, ESMAILY, HABIBOLLAH, & RAHIMI FOROUSHANI, ABBAS. (2020). Predicting the Survival of AIDS Patients Using Two Frameworks of Statistical Joint Modeling and Comparing Their Predictive Accuracy. IRANIAN JOURNAL OF PUBLIC HEALTH, 49(5), 949-958. SID. https://sid.ir/paper/754297/en

Vancouver: Copy

KHORASHADIZADEH FATEMEH, TABESH HAMED, PARSAEIAN MAHBOUBEH, ESMAILY HABIBOLLAH, RAHIMI FOROUSHANI ABBAS. Predicting the Survival of AIDS Patients Using Two Frameworks of Statistical Joint Modeling and Comparing Their Predictive Accuracy. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2020;49(5):949-958. Available from: https://sid.ir/paper/754297/en

IEEE: Copy

FATEMEH KHORASHADIZADEH, HAMED TABESH, MAHBOUBEH PARSAEIAN, HABIBOLLAH ESMAILY, and ABBAS RAHIMI FOROUSHANI, “Predicting the Survival of AIDS Patients Using Two Frameworks of Statistical Joint Modeling and Comparing Their Predictive Accuracy,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 49, no. 5, pp. 949–958, 2020, [Online]. Available: https://sid.ir/paper/754297/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops