Skip to main content

Joint modeling of longitudinal and time-to-event data: An overview

Publication ,  Conference
Tsiatis, AA; Davidian, M
Published in: Statistica Sinica
July 1, 2004

A common objective in longitudinal studies is to characterize the relationship between a longitudinal response process and a time-to-event. Considerable recent interest has focused on so-called joint models, where models for the event time distribution and longitudinal data are taken to depend on a common set of latent random effects. In the literature, precise statement of the underlying assumptions typically made for these models has been rare. We review the rationale for and development of joint models, offer insight into the structure of the likelihood for model parameters that clarifies the nature of common assumptions, and describe and contrast some of our recent proposals for implementation and inference.

Duke Scholars

Published In

Statistica Sinica

ISSN

1017-0405

Publication Date

July 1, 2004

Volume

14

Issue

3

Start / End Page

809 / 834

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0801 Artificial Intelligence and Image Processing
  • 0199 Other Mathematical Sciences
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Tsiatis, A. A., & Davidian, M. (2004). Joint modeling of longitudinal and time-to-event data: An overview. In Statistica Sinica (Vol. 14, pp. 809–834).
Tsiatis, A. A., and M. Davidian. “Joint modeling of longitudinal and time-to-event data: An overview.” In Statistica Sinica, 14:809–34, 2004.
Tsiatis AA, Davidian M. Joint modeling of longitudinal and time-to-event data: An overview. In: Statistica Sinica. 2004. p. 809–34.
Tsiatis, A. A., and M. Davidian. “Joint modeling of longitudinal and time-to-event data: An overview.” Statistica Sinica, vol. 14, no. 3, 2004, pp. 809–34.
Tsiatis AA, Davidian M. Joint modeling of longitudinal and time-to-event data: An overview. Statistica Sinica. 2004. p. 809–834.

Published In

Statistica Sinica

ISSN

1017-0405

Publication Date

July 1, 2004

Volume

14

Issue

3

Start / End Page

809 / 834

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0801 Artificial Intelligence and Image Processing
  • 0199 Other Mathematical Sciences
  • 0104 Statistics