The analysis of repeated measurements in sensory and consumer studies

Food Quality and Preference

Volumn 11, Issue 1-2, 2000, Pages 35-41

  Jones, Byron ^a   Wang, Jixian ^a  

^a DE MONTFORT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033636235     PISSN: 09503293     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0950-3293(99)00041-5     Document Type: Article

References (10)

1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrov, & F. Csàki, Second International Symposium on Inference Theory (Pp. 267-281). Budapest: Akadémiai Kiadó.
2. Collett, D. (1991). Modelling Binary Data. London: Chapman and Hall.
3. Hsu, J. C. (1996). Multiple Comparisons: Theory and Methods. London: Chapman and Hall.
4. Jones, B., & Kenward, M. G. (1987). Design and Analysis of Crossover Trials. London: Chapman and Hall.
5. Kenward, M. G. (1987). A method for comparing profiles of repeated measurements. Applied Statistics, 36, 296-308.
6. Littel, R. C., Milliken, G. A., Stroup, W. W., & Wolfinger, R. D. (1996). System for Mixed Models. Cary, NC: SAS Institute.
7. Lipsitz, S. R., Kim, K., & Zhao, L. (1994). Analysis of repeated categorical data using generalized estimating equations. Statistics in Medicine, 13, 1149-1163.
8. Schlich, P. (1993). Uses of change-over designs and repeated measurements in sensory and consumer studies. Food Quality and Preference, 4, 223-235.
9. Stokes, M. E., Davis, C. S., & Koch, G. G. (1995). Categorical Data Analysis Using the SAS System. SAS Institute Inc: Cary.
10. Westfall, P. H., & Young, S. S. (1993). Resampling-based Multiple Testing: Examples and Methods for P-value Adjustment. New York: Wiley.