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Surveillance in Longitudinal Models: Detection of Intrauterine Growth Restriction

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  • Max Petzold
  • Christian Sonesson
  • Eva Bergman
  • Helle Kieler

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  • Max Petzold & Christian Sonesson & Eva Bergman & Helle Kieler, 2004. "Surveillance in Longitudinal Models: Detection of Intrauterine Growth Restriction," Biometrics, The International Biometric Society, vol. 60(4), pages 1025-1033, December.
  • Handle: RePEc:bla:biomet:v:60:y:2004:i:4:p:1025-1033
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00258.x
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    References listed on IDEAS

    as
    1. Christian Sonesson & David Bock, 2003. "A review and discussion of prospective statistical surveillance in public health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(1), pages 5-21, February.
    2. Patrick Royston & Douglas G. Altman, 1994. "Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(3), pages 429-453, September.
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    Cited by:

    1. Dewi Anggraini & Mali Abdollahian & Kaye Marion, 2020. "The development of an alternative growth chart for estimated fetal weight in the absence of ultrasound: Application in Indonesia," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-24, October.
    2. Frisén, Marianne, 2008. "Introduction to financial surveillance," Research Reports 2008:1, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    3. Andersson, Eva, 2008. "Hotelling´s T2 Method in Multivariate On-line Surveillance. On the Delay of an Alarm," Research Reports 2008:3, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    4. Andersson, Eva, 2007. "Effect of dependency in systems for multivariate surveillance," Research Reports 2007:1, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    5. Frisén, Marianne, 2011. "Methods and evaluations for surveillance in industry, business, finance, and public health," Research Reports 2011:3, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.

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