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A Positive Event Dependence Model for Self-Controlled Case Series with Applications in Postmarketing Surveillance

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  • Shawn E. Simpson

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  • Shawn E. Simpson, 2013. "A Positive Event Dependence Model for Self-Controlled Case Series with Applications in Postmarketing Surveillance," Biometrics, The International Biometric Society, vol. 69(1), pages 128-136, March.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:1:p:128-136
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01795.x
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    References listed on IDEAS

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    1. C. Paddy Farrington & Mounia N. Hocine, 2010. "Within‐individual dependence in self‐controlled case series models for recurrent events," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(3), pages 457-475, May.
    2. C. P. Farrington & H. J. Whitaker, 2006. "Semiparametric analysis of case series data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(5), pages 553-594, November.
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    Cited by:

    1. Ghebremichael-Weldeselassie, Yonas & Whitaker, Heather J. & Douglas, Ian J. & Smeeth, Liam & Farrington, C. Paddy, 2017. "Self-controlled case series with multiple event types," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 64-72.

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