A Multivariate Method for Classifying Third to Seventh Cervical Newborn Vertebrae Using Bone Measurements

    Volume 46, Issue 6 (November 2001)

    ISSN: 0022-1198

    CODEN: JFSOAD

    Page Count: 4


    Castellana, C
    Facultad de Medicina, Universidad de Barcelona, Barcelona,

    Kósa, F
    Albert Szent-Györgyi Medical University, Szeged,

    (Received 14 February 2000; accepted 25 February 2001)

    Abstract

    This research provides a method to classify human newborn (9 to 10 lm) third to seventh cervical ossification centers. Nine linear measurements on the cervical neural arch were defined from 35 human neonates. Four discriminant functions were performed using the stepwise method. The model classifies 82.8% of grouped cases and 77.9% of cross-validated cases correctly. The model is useful in cases with isolated or commingled remains during anthropological or forensic investigations.


    Paper ID: JFS15167J

    DOI: 10.1520/JFS15167J

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    Title A Multivariate Method for Classifying Third to Seventh Cervical Newborn Vertebrae Using Bone Measurements
    Symposium , 0000-00-00
    Committee E30