CONTROLLED CLINICAL TRIALS;
DATA INTERPRETATION, STATISTICAL;
DRUG ADMINISTRATION SCHEDULE;
DRUG COMBINATIONS;
HUMANS;
MODELS, STATISTICAL;
RESEARCH DESIGN;
TREATMENT OUTCOME;
A multiple comparison procedure for comparing several treatments with a control
Dunnett CW. A multiple comparison procedure for comparing several treatments with a control. Journal of the American Statistical Association 1955; 50:1096-1121.
Guideline E9: Statistical issues in clinical trials
ICH. International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH). Accessed at
ICH. Guideline E9: statistical issues in clinical trials. International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH). 1998. Accessed at www.ich.org.
(1998)
8
0141918127
Points to consider on multiplicity issues in clinical trials
EMEA. European Medicines Agency (EMEA), Accessed at
EMEA. Points to consider on multiplicity issues in clinical trials. European Medicines Agency (EMEA), 2002. Accessed at www.emea.eu.int.
(2002)
9
2142849733
A manual for the determination of sample sizes for multiple comparisons: Formulas and tables
Horn M, Vollandt R. A manual for the determination of sample sizes for multiple comparisons: formulas and tables. Informatik, Biometrie und Epidemiologie 2001; 32:1-38.
Sample size for comparisons of k treatments with a control based on different definitions of power
Horn M, Vollandt R. Sample size for comparisons of k treatments with a control based on different definitions of power. Biometrical Journal 1998; 40:589-612.
In (2nd edn), Balakrishnan N, Read CB, Vidakovic B (eds). Wiley: New York
Serfling RJ. Multivariate symmetry and asymmetry. In Encyclopedia of statistical sciences (2nd edn), Balakrishnan N, Read CB, Vidakovic B (eds). Wiley: New York, 2004.
R: A language and environment for statistical computing
R Development Core Team. R Foundation for Statistical Computing: Vienna, ISBN 3-900051-00-3, URL
R Development Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, 2004. ISBN 3-900051-00-3, URL http://www.R-project.org.
(2004)
14
0038543512
Power calculations for large multi-arm placebo-controlled studies of dichotomous outcomes
Hasselblad V, Allen AS. Power calculations for large multi-arm placebo-controlled studies of dichotomous outcomes. Statistics in Medicine 2003; 22:1943-1954.