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A Latent Class Model with Hidden Markov Dependence for Array CGH Data

Author

Listed:
  • Stacia M. DeSantis
  • E. Andrés Houseman
  • Brent A. Coull
  • David N. Louis
  • Gayatry Mohapatra
  • Rebecca A. Betensky

Abstract

No abstract is available for this item.

Suggested Citation

  • Stacia M. DeSantis & E. Andrés Houseman & Brent A. Coull & David N. Louis & Gayatry Mohapatra & Rebecca A. Betensky, 2009. "A Latent Class Model with Hidden Markov Dependence for Array CGH Data," Biometrics, The International Biometric Society, vol. 65(4), pages 1296-1305, December.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1296-1305
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01226.x
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    References listed on IDEAS

    as
    1. Fridlyand, Jane & Snijders, Antoine M. & Pinkel, Dan & Albertson, Donna G. & Jain, A.N.Ajay N., 2004. "Hidden Markov models approach to the analysis of array CGH data," Journal of Multivariate Analysis, Elsevier, vol. 90(1), pages 132-153, July.
    2. Klaus Larsen, 2004. "Joint Analysis of Time-to-Event and Multiple Binary Indicators of Latent Classes," Biometrics, The International Biometric Society, vol. 60(1), pages 85-92, March.
    3. Shubhankar Ray & Bani Mallick, 2006. "Functional clustering by Bayesian wavelet methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(2), pages 305-332, April.
    4. Gareth M. James, 2002. "Generalized linear models with functional predictors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 411-432, August.
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    Citations

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    Cited by:

    1. Engler David & Shen Yiping & Gusella James & Betensky Rebecca A., 2011. "Comparison of Clinical Subgroup aCGH Profiles through Pseudolikelihood Ratio Tests," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-23, July.

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