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Bivariate random effect model using skew-normal distribution with application to HIV-RNA.

Publication ,  Journal Article
Ghosh, P; Branco, MD; Chakraborty, H
Published in: Stat Med
March 15, 2007

Correlated data arise in a longitudinal studies from epidemiological and clinical research. Random effects models are commonly used to model correlated data. Mostly in the longitudinal data setting we assume that the random effects and within subject errors are normally distributed. However, the normality assumption may not always give robust results, particularly if the data exhibit skewness. In this paper, we develop a Bayesian approach to bivariate mixed model and relax the normality assumption by using a multivariate skew-normal distribution. Specifically, we compare various potential models and illustrate the procedure using a real data set from HIV study.

Duke Scholars

Published In

Stat Med

DOI

ISSN

0277-6715

Publication Date

March 15, 2007

Volume

26

Issue

6

Start / End Page

1255 / 1267

Location

England

Related Subject Headings

  • Statistics & Probability
  • RNA, Viral
  • Normal Distribution
  • Models, Statistical
  • Longitudinal Studies
  • Humans
  • HIV Infections
  • Bayes Theorem
  • 4905 Statistics
  • 4202 Epidemiology
 

Citation

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Chicago
ICMJE
MLA
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Ghosh, P., Branco, M. D., & Chakraborty, H. (2007). Bivariate random effect model using skew-normal distribution with application to HIV-RNA. Stat Med, 26(6), 1255–1267. https://doi.org/10.1002/sim.2667
Ghosh, Pulak, Marcia D. Branco, and Hrishikesh Chakraborty. “Bivariate random effect model using skew-normal distribution with application to HIV-RNA.Stat Med 26, no. 6 (March 15, 2007): 1255–67. https://doi.org/10.1002/sim.2667.
Ghosh P, Branco MD, Chakraborty H. Bivariate random effect model using skew-normal distribution with application to HIV-RNA. Stat Med. 2007 Mar 15;26(6):1255–67.
Ghosh, Pulak, et al. “Bivariate random effect model using skew-normal distribution with application to HIV-RNA.Stat Med, vol. 26, no. 6, Mar. 2007, pp. 1255–67. Pubmed, doi:10.1002/sim.2667.
Ghosh P, Branco MD, Chakraborty H. Bivariate random effect model using skew-normal distribution with application to HIV-RNA. Stat Med. 2007 Mar 15;26(6):1255–1267.
Journal cover image

Published In

Stat Med

DOI

ISSN

0277-6715

Publication Date

March 15, 2007

Volume

26

Issue

6

Start / End Page

1255 / 1267

Location

England

Related Subject Headings

  • Statistics & Probability
  • RNA, Viral
  • Normal Distribution
  • Models, Statistical
  • Longitudinal Studies
  • Humans
  • HIV Infections
  • Bayes Theorem
  • 4905 Statistics
  • 4202 Epidemiology