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Multivariate Bernoulli Mixture Models with Application to Postmortem Tissue Studies in Schizophrenia

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  • Zhuoxin Sun
  • Ori Rosen
  • Allan R. Sampson

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  • Zhuoxin Sun & Ori Rosen & Allan R. Sampson, 2007. "Multivariate Bernoulli Mixture Models with Application to Postmortem Tissue Studies in Schizophrenia," Biometrics, The International Biometric Society, vol. 63(3), pages 901-909, September.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:3:p:901-909
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00762.x
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    Cited by:

    1. Tsubasa Ito & Shonosuke Sugasawa, 2023. "Grouped generalized estimating equations for longitudinal data analysis," Biometrics, The International Biometric Society, vol. 79(3), pages 1868-1879, September.
    2. Zhang, Yingying & Wang, Huixia Judy & Zhu, Zhongyi, 2019. "Quantile-regression-based clustering for panel data," Journal of Econometrics, Elsevier, vol. 213(1), pages 54-67.
    3. P. G. Sankaran & P. Anisha, 2011. "Shared frailty model for recurrent event data with multiple causes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2859-2868, February.
    4. Gang Cheng & Ying Zhang & Liqiang Lu, 2011. "Efficient algorithms for computing the non and semi-parametric maximum likelihood estimates with panel count data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(2), pages 567-579.
    5. Hui Zhao & Yang Li & Jianguo Sun, 2013. "Semiparametric analysis of multivariate panel count data with dependent observation processes and a terminal event," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(2), pages 379-394, June.

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