An additive-multiplicative mean model for marker data contingent on recurrent event with an informative terminal event

Miao Han, Xinyuan Song, Liuquan Sun, Lei Liu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In many medical studies some markers, such as the medical costs incurred during each hospitalisation, are only measured when an event, such as a hospitalisation, occurs. In addition, there may exist an informative terminal event that stops the follow-up. In this article, we propose an additive-multiplicative mean model for marker data contingent on recurrent event with an informative terminal event via latent variables. Estimation procedures are developed for parameter estimation, and asymptotic properties of the proposed estimators are derived. In addition, some numerical procedures are provided for model checking. The finite sample properties of the proposed estimators are examined through simulation studies. An application to a medical cost study of chronic heart failure patients from the University of Virginia Health System is illustrated.

Original languageEnglish (US)
Pages (from-to)1197-1218
Number of pages22
JournalStatistica Sinica
Volume26
Issue number3
DOIs
StatePublished - Jul 2016

Keywords

  • Estimating equations
  • Joint modeling
  • Latent variables
  • Marker data
  • Recurrent event
  • Terminal event

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'An additive-multiplicative mean model for marker data contingent on recurrent event with an informative terminal event'. Together they form a unique fingerprint.

Cite this