A multivariate test of interaction for use in clinical trials

Biometrics

Volumn 55, Issue 4, 1999, Pages 1151-1155

  Follmann, Dean A ^a   Proschan, Michael A ^a  

^a NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

Author keywords

Bonferroni Correction; Likelihood ratio statistic; Quadratic form; Subgroups

Indexed keywords

PATIENT TREATMENT;

BONFERRONI CORRECTION; CLINICAL TRIAL; COVARIATES; DISEASE SEVERITY; FACTOR METHODS; LIKELIHOOD RATIO STATISTICS; QUADRATIC FORM; RISK FACTORS; SEVERITY INDEX; SUBGROUP;

NUMBER THEORY;

ARTICLE; DISEASE SEVERITY; HUMAN; MULTIVARIATE ANALYSIS; RISK FACTOR; STATISTICAL ANALYSIS; TREATMENT OUTCOME;

EID: 0032714536     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.01151.x     Document Type: Article

References (11)

1. Albert, P. S., Follmann, D. A., and Barnhart, H. X. (1997). A generalized estimating equation approach for modeling multivariate random length binary data. Biometrics 53, 1116-1124.
2. Byar, D. P. (1985). Assessing apparent treatment-covariate interactions in randomized clinical trials. Statistics in Medicine 4, 255-263.
3. Chiasson, J.-L., Josse, R. G., Hunt, J. A., Palmason, C., Rodger, N. W., Ross, S. A., Ryan, E. A., Tan, M. H., and Wolever, T. M. S. (1994). The efficacy of Acarbose in the treatment of patients with non-insulin-dependent diabetes mellitus: A multicenter controlled clinical trial. Annals of Internal Medicine 121, 928-935.
4. Fleiss, J. L. (1986). The Design and Analysis of Clinical Experiments. New York: John Wiley and Sons.
5. Follmann, D. A. (1995). Multivariate tests for multiple end-points in clinical trials. Statistics in Medicine 14, 1163-1176.
6. Friedman, L., Furberg, C., and DeMets, D. (1996). Fundamentals of Clinical Trials. St. Louis: Mosby.
7. Gueyffier, F., Boutitie, F., Boissel, J.-P., Pocock, S., Coope, J., Cutler, J., Ekbom, T., Fagard, R., Friedman, L., Perry, M., Prineas, R., and Schron, E. (1997). Effects of antihypertensive drug treatment on cardiovascular outcomes in women and men. Annals of Internal Medicine 126, 761-767.
8. Lambert, D. (1992). Zero-inflated Poisson regression with an application to defects in manufacturing. Technometrics 34, 1-14.
9. Liang, K.-Y. and Zeger, S. L. (1986). Longitudinal analysis using generalized linear models. Biometrika 73, 13-22.
10. McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. New York: Chapman and Hall.
11. Rochon, J. (1996). Accounting for covariates observed post randomization for discrete and continuous repeated measures data. Journal of the Royal Statistical Society, Series B 58, 205-219.