Exact inference for growth curves with intraclass correlation structure

Biometrics

Volumn 55, Issue 3, 1999, Pages 921-924

  Weerahandi, Samaradasa ^a   Berger, Vance W ^b  

^a TELCORDIA TECHNOLOGIES   (United States)

^b CENTER FOR BIOLOGICS EVALUATION AND RESEARCH   (United States)

Author keywords

Compound symmetry; Generalized inference; Longitudinal data; Repeated measures

Indexed keywords

COMPOUND SYMMETRY; CORRELATION STRUCTURE; EXACT INFERENCE; GENERALIZED INFERENCE; GROWTH CURVES; INTRACLASS CORRELATIONS; LINEAR GROWTH; LONGITUDINAL DATA; REPEATED MEASURES; SIMPLEST LINEAR;

ARTICLE; BODY HEIGHT; CHILD GROWTH; GROWTH CURVE; HUMAN; MODEL; OBSERVATION; STATISTICAL ANALYSIS;

EID: 0032886039     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.00921.x     Document Type: Article

References (13)

1. Chi, E. M. and Weerahandi, S. (1998). Comparing treatments under growth curve models: Exact tests using generalized p-values. Journal of Statistical Planning and Inference 71, 179-189.
2. Elston, R. C. and Grizzle, J. F. (1962). Estimation of time response curves and their confidence bands. Biometrics 18, 148-159.
3. Laird, N., Lange, N., and Stram, D. (1987). Maximum likelihood computations with repeated measures: Application of the EM algorithm. Journal of the American Statistical Association 82(397), 97-105.
4. Lehmann, E. L. (1986). Testing Statistical Hypotheses, 2nd edition. New York: Wiley.
5. McElroy, F. W. (1967). A necessary and sufficient condition that ordinary least-squares estimators be best unbiased. Journal of the American Statistical Association 62(320), 1302-1304.
6. Rao, C. R. (1967). Least-squares theory using an estimated dispersion matrix and its application to measurement of signals. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability 1, 355-372.
7. Schneiderman, E. D., Willis, S. M., Kowalski, C. J., and Guo, I. Y. (1994). Implementation of exact and approximate randomization tests for polynomial growth curves. International Journal of Bio-Medical Computing 36, 187-192.
8. Thursby, J. G. (1992). A comparison of several exact and approximate tests for structural shift under heteroscedasticity. Journal of Econometrics 53, 363-386.
9. Tsui, K. W. and Weerahandi, S. (1989). Generalized p-values in significance testing of hypotheses in the presence of nuisance parameters. Journal of the American Statistical Association 84(406), 602-607.
10. Ware, J. H. (1983). Growth curves. In The Encyclopedia of Statistical Sciences, S. Kotz and N. L. Johnson (eds), 539-542. New York: Wiley.
11. Weerahandi, S. (1995). Exact Statistical Methods for Data Analysis. New York: Springer-Verlag.
12. Weerahandi, S. and Johnson, R. A. (1992). Testing reliability in a stress-strength model when x and y are normally distributed. Technometrics 34(1), 83-91.
13. Zhou, L. and Mathew, T. (1994). Some tests for variance components using generalized p-values. Technometrics 36(4), 394-402.