PowerTOST (version 1.4-5)

known.designs: Show the 'known' designs

Description

Returns the known study designs for which power and sample size can be calculated within this package.

Usage

known.designs()

Arguments

Value

Returns a data.frame with

no

= number of the design

design

= character string for identifying the design

df

= degrees of freedom of the design

df2

= 'robust' degrees of freedom of the design

steps

= step width in the iterative sample size estimation

bk

= so-called design constant in terms of total n

bkni

= design 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.

Details

This function is for informal purposes and will be used internal for obtaining characteristics of the designs used in calculation formulas.

References

K.-W. Chen, S.-C. Chow and G. Liu "A Note on Sample Size Determination for Bioequivalence Studies with Higher-order Crossover Designs" J. Pharmacokinetics and Biopharmaceutics, Vol. 25, No. 6, p753-765 (1997)

S. Senn "Cross-over Trials in Clinical Research" Second Edition, John Wiley & Sons, Chichester 2002

FDA Guidance for Industry. "Statistical Approaches to Establishing Bioequivalence" U.S. Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER). January 2001

Liu J-P "Use of the Repeated Crossover design in Assessing Bioequivalence" Stat. Med. Vol. 14, 1067-1078 (1995)

Examples

Run this code
# NOT RUN {
known.designs()
# }

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