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Latent-model robustness in joint models for a primary endpoint and a longitudinal process.

Publication ,  Journal Article
Huang, X; Stefanski, LA; Davidian, M
Published in: Biometrics
September 2009

Joint modeling of a primary response and a longitudinal process via shared random effects is widely used in many areas of application. Likelihood-based inference on joint models requires model specification of the random effects. Inappropriate model specification of random effects can compromise inference. We present methods to diagnose random effect model misspecification of the type that leads to biased inference on joint models. The methods are illustrated via application to simulated data, and by application to data from a study of bone mineral density in perimenopausal women and data from an HIV clinical trial.

Duke Scholars

Published In

Biometrics

DOI

EISSN

1541-0420

Publication Date

September 2009

Volume

65

Issue

3

Start / End Page

719 / 727

Location

England

Related Subject Headings

  • Statistics & Probability
  • Regression Analysis
  • Models, Statistical
  • Longitudinal Studies
  • Endpoint Determination
  • Effect Modifier, Epidemiologic
  • Data Interpretation, Statistical
  • Computer Simulation
  • Clinical Trials as Topic
  • Biometry
 

Citation

APA
Chicago
ICMJE
MLA
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Huang, X., Stefanski, L. A., & Davidian, M. (2009). Latent-model robustness in joint models for a primary endpoint and a longitudinal process. Biometrics, 65(3), 719–727. https://doi.org/10.1111/j.1541-0420.2008.01171.x
Huang, Xianzheng, Leonard A. Stefanski, and Marie Davidian. “Latent-model robustness in joint models for a primary endpoint and a longitudinal process.Biometrics 65, no. 3 (September 2009): 719–27. https://doi.org/10.1111/j.1541-0420.2008.01171.x.
Huang X, Stefanski LA, Davidian M. Latent-model robustness in joint models for a primary endpoint and a longitudinal process. Biometrics. 2009 Sep;65(3):719–27.
Huang, Xianzheng, et al. “Latent-model robustness in joint models for a primary endpoint and a longitudinal process.Biometrics, vol. 65, no. 3, Sept. 2009, pp. 719–27. Pubmed, doi:10.1111/j.1541-0420.2008.01171.x.
Huang X, Stefanski LA, Davidian M. Latent-model robustness in joint models for a primary endpoint and a longitudinal process. Biometrics. 2009 Sep;65(3):719–727.
Journal cover image

Published In

Biometrics

DOI

EISSN

1541-0420

Publication Date

September 2009

Volume

65

Issue

3

Start / End Page

719 / 727

Location

England

Related Subject Headings

  • Statistics & Probability
  • Regression Analysis
  • Models, Statistical
  • Longitudinal Studies
  • Endpoint Determination
  • Effect Modifier, Epidemiologic
  • Data Interpretation, Statistical
  • Computer Simulation
  • Clinical Trials as Topic
  • Biometry