Multivariate Joint Frailty Models for Modeling Multiple Recurrent Events and Its Application in Breast Cancer

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.

OSMANI FERESHTE; HAJIZADEH EBRAHIM; RASEKHI ALIAKBAR; AKBARI MOHAMMAD ESMAEEL

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

Journal Paper

Paper Information

Journal: Razi Journal of Medical Sciences Year:2019 | Volume:25 | Issue:10 Page(s): 71-79

Download Full-Text

Persian Verion

View:

668

Download:

Cites:

Information Journal Paper

Title

Multivariate Joint Frailty Models for Modeling Multiple Recurrent Events and Its Application in Breast Cancer

Author(s)

OSMANI FERESHTE | HAJIZADEH EBRAHIM | RASEKHI ALIAKBAR | AKBARI MOHAMMAD ESMAEEL | Issue Writer Certificate

Keywords

Breast cancerQ2

Joint frailty modelQ1

Multiple recurrent eventsQ1

MetastasisQ2

Abstract

Background: Breast cancer is one of the most common recurrence cancers among women. There are several factors that can affect the multiple recurrence of this disease, which have been studied and recognized in various studies, however, with the fact that these factors are known, cannot always accurately predict the incidence of Metastasis. On the other hand, simultaneous examination of the types of relapses will make the results more accurate. One of the types of models used to analyze recurrent events with heterogeneity among patients is a frailty model. The purpose of this study was to use a Joint frailty model to model multiple recurrences in Breast cancer patients data. Methods: In this retrospective study, 342 Breast cancer patients whose records were registered at the Shohada Tajrish Hospital Cancer Research Center were investigated. Patients were monitored for at least 6 months after diagnosis, and their last condition was recorded. For data analysis, the joint frailty survival model was used. Data modeling and data analysis were done in R software. Results: The three-year and five-year survival rates for patients were respectively 0. 79 and 0. 68 respectively. According to the results of the fitted Joint frailty model, it can be said that the risk of multiple recurrence (local and Metastasis) is increased for patients with tumor grade greater than I. We also found that if we did not consider the relationship between multiple recurrence in patients with Breast cancer, we would lose significant correlation. Conclusion: Considering the significant variance of the frailty component of the Metastasis event, it can be concluded that patients with the same predictor variables also have a different Metastasis risk and, on the other hand, given the low frequency of types of recurrences in this study, the results should be considered with caution.

Cites

No record.

References

No record.

Cite

APA: Copy

OSMANI, FERESHTE, HAJIZADEH, EBRAHIM, RASEKHI, ALIAKBAR, & AKBARI, MOHAMMAD ESMAEEL. (2019). Multivariate Joint Frailty Models for Modeling Multiple Recurrent Events and Its Application in Breast Cancer. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), 25(10 ), 71-79. SID. https://sid.ir/paper/10482/en

Vancouver: Copy

OSMANI FERESHTE, HAJIZADEH EBRAHIM, RASEKHI ALIAKBAR, AKBARI MOHAMMAD ESMAEEL. Multivariate Joint Frailty Models for Modeling Multiple Recurrent Events and Its Application in Breast Cancer. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES)[Internet]. 2019;25(10 ):71-79. Available from: https://sid.ir/paper/10482/en

IEEE: Copy

FERESHTE OSMANI, EBRAHIM HAJIZADEH, ALIAKBAR RASEKHI, and MOHAMMAD ESMAEEL AKBARI, “Multivariate Joint Frailty Models for Modeling Multiple Recurrent Events and Its Application in Breast Cancer,” RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), vol. 25, no. 10 , pp. 71–79, 2019, [Online]. Available: https://sid.ir/paper/10482/en

Related Journal Papers