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Bayesian modeling of time-varying and waning exposure effects.

Publication ,  Journal Article
Dunson, DB; Chulada, P; Arbes, SJ
Published in: Biometrics
March 2003

In epidemiologic studies, there is often interest in assessing the association between exposure history and disease incidence. For many diseases, incidence may depend not only on cumulative exposure, but also on the ages at which exposure occurred. This article proposes a flexible Bayesian approach for modeling age-varying and waning exposure effects. The Cox model is generalized to allow the hazard of disease to depend on an integral, across the exposed ages, of a piecewise polynomial function of age, multiplied by an exponential decay term. Linearity properties of the model facilitate posterior computation via a Gibbs sampler, which generalizes previous algorithms for Cox regression with time-dependent covariates. The approach is illustrated by an application to the study of protective effects of breastfeeding on incidence of childhood asthma.

Duke Scholars

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

March 2003

Volume

59

Issue

1

Start / End Page

83 / 91

Related Subject Headings

  • Time Factors
  • Statistics & Probability
  • Proportional Hazards Models
  • Humans
  • Environmental Exposure
  • Data Interpretation, Statistical
  • Child
  • Breast Feeding
  • Bayes Theorem
  • Asthma
 

Citation

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ICMJE
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Dunson, D. B., Chulada, P., & Arbes, S. J. (2003). Bayesian modeling of time-varying and waning exposure effects. Biometrics, 59(1), 83–91. https://doi.org/10.1111/1541-0420.00010
Dunson, David B., Patricia Chulada, and Samuel J. Arbes. “Bayesian modeling of time-varying and waning exposure effects.Biometrics 59, no. 1 (March 2003): 83–91. https://doi.org/10.1111/1541-0420.00010.
Dunson DB, Chulada P, Arbes SJ. Bayesian modeling of time-varying and waning exposure effects. Biometrics. 2003 Mar;59(1):83–91.
Dunson, David B., et al. “Bayesian modeling of time-varying and waning exposure effects.Biometrics, vol. 59, no. 1, Mar. 2003, pp. 83–91. Epmc, doi:10.1111/1541-0420.00010.
Dunson DB, Chulada P, Arbes SJ. Bayesian modeling of time-varying and waning exposure effects. Biometrics. 2003 Mar;59(1):83–91.
Journal cover image

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

March 2003

Volume

59

Issue

1

Start / End Page

83 / 91

Related Subject Headings

  • Time Factors
  • Statistics & Probability
  • Proportional Hazards Models
  • Humans
  • Environmental Exposure
  • Data Interpretation, Statistical
  • Child
  • Breast Feeding
  • Bayes Theorem
  • Asthma