Returns the known study designs for which power and sample size can be calculated within this package.
known.designs()Returns a data.frame with
nonumber of the design
designcharacter string for identifying the design
dfdegrees of freedom of the design
df2‘robust’ degrees of freedom of the design
stepsstep width in the iterative sample size estimation
bkso-called design constant in terms of total n
bknidesign constant in terms of number of subjects in (sequence) groups
The design character string has to be used in the functions calls for power and sample size.
D. Labes
This function is for informal purposes and used internally for obtaining characteristics of the designs used in calculation formulas.
Chen KW, Chow SC, Liu G. A Note on Sample Size Determination for Bioequivalence Studies with Higher-order Crossover Designs. J Pharmacokin Biopharm. 1997;25(6):753--65.
Senn S. Cross-over Trials in Clinical Research. Chichester: John Wiley & Sons; 2nd edition 2002.
U.S. Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER). Guidance for Industry. Statistical Approaches to Establishing Bioequivalence. January 2001. download
Liu J-p. Use of the Repeated Crossover design in Assessing Bioequivalence. Stat Med. 1995;14(9-10):1067--78.