• DocumentCode
    547453
  • Title

    The multilevel model and SAS programs

  • Author

    Wang, Xiaodong ; Tian, Jun

  • Author_Institution
    Coll. of Math. & Comput. Sci., Quanzhou Normal Univ., Quanzhou, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    454
  • Lastpage
    458
  • Abstract
    The growth curve analysis is a hotspot in the analysis to understand the characteristics of things change over time. However, the conventional curve fitting method does not apply to the structure data obtained by repeated measurement. Although the outline design matrix computation can be used to treat the structure data in the growth curve analysis, the corresponding SAS programs are very long and hard to understand. In this paper, we present algorithms for multi-level model applied to the analysis of the growth curve. The usage of the algorithms is demonstrated by practical examples. The very simple and clear SAS programs for the presented method are also given.
  • Keywords
    curve fitting; data analysis; statistical analysis; SAS programs; curve fitting method; design matrix computation; growth curve analysis; multilevel model; statistical analysis system; structure data; Analytical models; Data models; Electromyography; Mathematical model; Polynomials; Synthetic aperture sonar; algorithms; growth curves; multi-level models; structured data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953260
  • Filename
    5953260