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Likelihood and Pseudo-likelihood Methods for Semiparametric Joint Models for a Primary Endpoint and Longitudinal Data.

Publication ,  Journal Article
Li, E; Zhang, D; Davidian, M
Published in: Comput Stat Data Anal
August 15, 2007

Inference on the association between a primary endpoint and features of longitudinal profiles of a continuous response is of central interest in medical and public health research. Joint models that represent the association through shared dependence of the primary and longitudinal data on random effects are increasingly popular; however, existing inferential methods may be inefficient or sensitive to assumptions on the random effects distribution. We consider a semiparametric joint model that makes only mild assumptions on this distribution and develop likelihood-based inference on the association and distribution, which offers improved performance relative to existing methods that is insensitive to the true random effects distribution. Moreover, the estimated distribution can reveal interesting population features, as we demonstrate for a study of the association between longitudinal hormone levels and bone status in peri-menopausal women.

Duke Scholars

Published In

Comput Stat Data Anal

DOI

ISSN

0167-9473

Publication Date

August 15, 2007

Volume

51

Issue

12

Start / End Page

5776 / 5790

Location

Netherlands

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0802 Computation Theory and Mathematics
  • 0104 Statistics
 

Citation

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ICMJE
MLA
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Li, E., Zhang, D., & Davidian, M. (2007). Likelihood and Pseudo-likelihood Methods for Semiparametric Joint Models for a Primary Endpoint and Longitudinal Data. Comput Stat Data Anal, 51(12), 5776–5790. https://doi.org/10.1016/j.csda.2006.10.008
Li, Erning, Daowen Zhang, and Marie Davidian. “Likelihood and Pseudo-likelihood Methods for Semiparametric Joint Models for a Primary Endpoint and Longitudinal Data.Comput Stat Data Anal 51, no. 12 (August 15, 2007): 5776–90. https://doi.org/10.1016/j.csda.2006.10.008.
Li E, Zhang D, Davidian M. Likelihood and Pseudo-likelihood Methods for Semiparametric Joint Models for a Primary Endpoint and Longitudinal Data. Comput Stat Data Anal. 2007 Aug 15;51(12):5776–90.
Li, Erning, et al. “Likelihood and Pseudo-likelihood Methods for Semiparametric Joint Models for a Primary Endpoint and Longitudinal Data.Comput Stat Data Anal, vol. 51, no. 12, Aug. 2007, pp. 5776–90. Pubmed, doi:10.1016/j.csda.2006.10.008.
Li E, Zhang D, Davidian M. Likelihood and Pseudo-likelihood Methods for Semiparametric Joint Models for a Primary Endpoint and Longitudinal Data. Comput Stat Data Anal. 2007 Aug 15;51(12):5776–5790.
Journal cover image

Published In

Comput Stat Data Anal

DOI

ISSN

0167-9473

Publication Date

August 15, 2007

Volume

51

Issue

12

Start / End Page

5776 / 5790

Location

Netherlands

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0802 Computation Theory and Mathematics
  • 0104 Statistics