MODELING MIXED CONTINUOUS AND ORDINAL LONGITUDINAL RESPONSES UNDER DROP-OUT MECHANISM

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.

NOORIAN SAJAD

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

Journal Paper

Paper Information

Journal: ADVANCES IN MATHEMATICAL MODELING Year:2018 | Volume:2 | Issue:2 Page(s): 25-41

Download Full-Text

Persian Verion

View:

904

Download:

Cites:

Information Journal Paper

Title

MODELING MIXED CONTINUOUS AND ORDINAL LONGITUDINAL RESPONSES UNDER DROP-OUT MECHANISM

Author(s)

NOORIAN SAJAD | Issue Writer Certificate

Keywords

MIXED RESPONSESQ1

AUTOREGRESSIVE MODELQ1

CUMULATIVE LOGISTIC MODELQ1

JOINT MODELINGQ1

LONGITUDINAL STUDIESQ1

DROP-OUT MECHANISMQ1

Abstract

In some LONGITUDINAL STUDIES, especially in social, economic, medical and other fields, there may be two interested responses with two different scales at a time where they may be correlated with each other. Also, considering the nature of LONGITUDINAL STUDIES, each of the responses associated with a subject over time can also be correlated. So two correlation structure should be considered simultaneously in the data analysis. In a longitudinal study, some subjects may not be available for any reason (such as displacement, death and others), In a longitudinal study, some subjects may withdraw for any reason (such as displacement, death, etc.) and their information is not available. In this case, JOINT MODELING of longitudinal data and drop-out event is more desirable than separate modeling of either one. In this paper, the mathematics modeling of this type of data under DROP-OUT MECHANISM is presented using Bayesian approach. A Simulations study and a real data analysis is used to evaluate the performance of the proposed model. This model includes the presented models for complete data as a special case when there is no drop-out in the data set. Also, some tests for choosing the best fitted model to data are performed in the real data analysis.

Cites

No record.

References

No record.

Cite

APA: Copy

NOORIAN, SAJAD. (2018). MODELING MIXED CONTINUOUS AND ORDINAL LONGITUDINAL RESPONSES UNDER DROP-OUT MECHANISM. ADVANCES IN MATHEMATICAL MODELING, 2(2 ), 25-41. SID. https://sid.ir/paper/243861/en

Vancouver: Copy

NOORIAN SAJAD. MODELING MIXED CONTINUOUS AND ORDINAL LONGITUDINAL RESPONSES UNDER DROP-OUT MECHANISM. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2018;2(2 ):25-41. Available from: https://sid.ir/paper/243861/en

IEEE: Copy

SAJAD NOORIAN, “MODELING MIXED CONTINUOUS AND ORDINAL LONGITUDINAL RESPONSES UNDER DROP-OUT MECHANISM,” ADVANCES IN MATHEMATICAL MODELING, vol. 2, no. 2 , pp. 25–41, 2018, [Online]. Available: https://sid.ir/paper/243861/en

Related Journal Papers