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Dynamic model for multivariate markers of fecundability.

Publication ,  Journal Article
Cai, B; Dunson, DB; Stanford, JB
Published in: Biometrics
September 2010

Dynamic latent class models provide a flexible framework for studying biologic processes that evolve over time. Motivated by studies of markers of the fertile days of the menstrual cycle, we propose a discrete-time dynamic latent class framework, allowing change points to depend on time, fixed predictors, and random effects. Observed data consist of multivariate categorical indicators, which change dynamically in a flexible manner according to latent class status. Given the flexibility of the framework, which incorporates semi-parametric components using mixtures of betas, identifiability constraints are needed to define the latent classes. Such constraints are most appropriately based on the known biology of the process. The Bayesian method is developed particularly for analyzing mucus symptom data from a study of women using natural family planning.

Duke Scholars

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

September 2010

Volume

66

Issue

3

Start / End Page

905 / 913

Related Subject Headings

  • Time Factors
  • Statistics & Probability
  • Natural Family Planning Methods
  • Mucus
  • Models, Statistical
  • Menstrual Cycle
  • Male
  • Humans
  • Fertility
  • Female
 

Citation

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ICMJE
MLA
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Cai, B., Dunson, D. B., & Stanford, J. B. (2010). Dynamic model for multivariate markers of fecundability. Biometrics, 66(3), 905–913. https://doi.org/10.1111/j.1541-0420.2009.01327.x
Cai, Bo, David B. Dunson, and Joseph B. Stanford. “Dynamic model for multivariate markers of fecundability.Biometrics 66, no. 3 (September 2010): 905–13. https://doi.org/10.1111/j.1541-0420.2009.01327.x.
Cai B, Dunson DB, Stanford JB. Dynamic model for multivariate markers of fecundability. Biometrics. 2010 Sep;66(3):905–13.
Cai, Bo, et al. “Dynamic model for multivariate markers of fecundability.Biometrics, vol. 66, no. 3, Sept. 2010, pp. 905–13. Epmc, doi:10.1111/j.1541-0420.2009.01327.x.
Cai B, Dunson DB, Stanford JB. Dynamic model for multivariate markers of fecundability. Biometrics. 2010 Sep;66(3):905–913.
Journal cover image

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

September 2010

Volume

66

Issue

3

Start / End Page

905 / 913

Related Subject Headings

  • Time Factors
  • Statistics & Probability
  • Natural Family Planning Methods
  • Mucus
  • Models, Statistical
  • Menstrual Cycle
  • Male
  • Humans
  • Fertility
  • Female