Analysis of Two - Part Random Effects Model for Semi-Ordinal Longitudinal Response

Zhale Tahmasebinejad ()
Additional contact information
Zhale Tahmasebinejad: Shahid Beheshti University of Medical Sciences

Sankhya B: The Indian Journal of Statistics, 2024, vol. 86, issue 2, No 17, 777-808

Abstract: Abstract We have proposed a new variable called semi-ordinal variable. This variable exhibits a combination of responses, with a portion of them taking on ordinal values and the remaining values following a continuous distribution, often with truncation. In longitudinal analyses, variable of this type may be described by a pair of regression models, for example, one approach to analyze this variable is to use ordinal regression for the ordinal component and a conditional linear model for the continuous component. We have proposed a two - part ranom effects model for longitudinal semi-ordinal responses. A full likelihood-based approach that allows yielding maximum likelihood estimates of the model parameters is used. To illustrate the utility of the proposed model, we apply a new method for analysis outlier data. Also, the model is applied to using data from a large data set excerpted from the British Household Panel Survey (BHPS) is analyzed.

Keywords: Semi - ordinal variable; Linear mixed model; Longitudinal study; outlier data; random effect; 62J02; 62J12 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13571-024-00327-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sankhb:v:86:y:2024:i:2:d:10.1007_s13571-024-00327-x

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/13571

DOI: 10.1007/s13571-024-00327-x

Access Statistics for this article

Sankhya B: The Indian Journal of Statistics is currently edited by Dipak Dey

More articles in Sankhya B: The Indian Journal of Statistics from Springer, Indian Statistical Institute
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().