Joint Models of Longitudinal Outcomes and Informative Time
No Thumbnail Available
Can’t use the file because of accessibility barriers? Contact us
Date
2020-06-07
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Permanent Link
Abstract
Longitudinal data analyses commonly assume that time intervals are predetermined and have no information regarding the outcomes. However, there might be irregular time intervals and informative time. Presented are joint models and asymptotic behaviors of the parameter estimates. Also, the models are applied for real data sets.
Description
Keywords
Citation
Seo, Jang Dong. "Joint Models of Longitudinal Outcomes and Informative Time." Journal of Modern Applied Statistical Methods, vol. 18, no. 1, 2020-06-07, https://doi.org/10.22237/jmasm/1556670000.
Journal
Journal of Modern Applied Statistical Methods