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Screening Based on the Risk of Cancer Calculation From Bayesian Hierarchical Changepoint and Mixture Models of Longitudinal Markers

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  • Skates S. J
  • Pauler D. K
  • Jacobs I. J

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  • Skates S. J & Pauler D. K & Jacobs I. J, 2001. "Screening Based on the Risk of Cancer Calculation From Bayesian Hierarchical Changepoint and Mixture Models of Longitudinal Markers," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 429-439, June.
    • Handle: RePEc:bes:jnlasa:v:96:y:2001:m:june:p:429-439
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    Cited by:

    1. Bai, Jushan, 2010. "Common breaks in means and variances for panel data," Journal of Econometrics, Elsevier, vol. 157(1), pages 78-92, July.
    2. Natasha Stout & Amy Knudsen & Chung Kong & Pamela McMahon & G. Gazelle, 2009. "Calibration Methods Used in Cancer Simulation Models and Suggested Reporting Guidelines," PharmacoEconomics, Springer, vol. 27(7), pages 533-545, July.
    3. G. Muniz Terrera & A. van den Hout & F. E. Matthews, 2011. "Random change point models: investigating cognitive decline in the presence of missing data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(4), pages 705-716, November.
    4. Christopher H. Morrell & Larry J. Brant & Shan Sheng & E. Jeffrey Metter, 2012. "Screening for prostate cancer using multivariate mixed-effects models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(6), pages 1151-1175, November.
    5. Jeremy Taylor & Menggang Yu & Howard Sandler, 2004. "Individualized predictions of disease progression following radiation therapy for prostate cancer," The University of Michigan Department of Biostatistics Working Paper Series 1024, Berkeley Electronic Press.
    6. Yingye Zheng & Patrick Heagerty, 2004. "Partly Conditional Survival Models for Longitudinal Data," UW Biostatistics Working Paper Series 1053, Berkeley Electronic Press.
    7. Ruben Amoros & Ruth King & Hidenori Toyoda & Takashi Kumada & Philip J. Johnson & Thomas G. Bird, 2019. "A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 67-86, August.

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