DIFFERENT METHODS OF ANALYZING MULTIPLE SAMPLES REPEATED MEASURES DATA

Authors

  • Garima Shukla Department of Mathematics, Statistics and Computer Science G. B. Pant University of Agriculture and Technology, Pantnagar, India
  • Vinod Kumar Department of Mathematics, Statistics and Computer Science G. B. Pant University of Agriculture and Technology, Pantnagar, India

Keywords:

Repeated Measures, Sphericity, Mixed Model, Covariance Structure, Fit Statistics.

Abstract

Three methods of analysis viz. Standard ANOVA, Repeated Measures ANOVA and Linear Mixed Model were used to analyze two sets of data due to Cole and Grizzle (1966) and Crowder and Hand (1990) by using SAS 9.2. Four groups of dogs (dataset 1) were found to differ significantly with respect to blood histamine levels under all the three methods of analysis except linear mixed approach under H-F covariance structure, whereas different groups of pigs (dataset 2) were found to differ insignificantly with respect to body weights under all the abovesaid methods. On the basis of the values of AIC, AICC and BIC unstructured covariance structure was found best.

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Published

2012-06-05

How to Cite

Shukla, G. ., & Kumar, V. . (2012). DIFFERENT METHODS OF ANALYZING MULTIPLE SAMPLES REPEATED MEASURES DATA. Journal of Reliability and Statistical Studies, 5(01), 83–93. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21943

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