Semiparametric mean model with non linear time effect of the covariate for clustered recurrent events with terminal events

Kang Fang Yuan

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 11, 2640-2658

Abstract: For the clustered recurrent event data with the terminal event, an additive mean model was established. In the model, the coefficients included linear function of time and non linear function of time. The parameters were estimated by the generalized estimating equation. Asymptotic properties of estimators were established. Some simulations were conducted to evaluate the proposed method, and the real data were illustrated.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1674872 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:50:y:2021:i:11:p:2640-2658

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2019.1674872

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().