PowerTOST (version 1.5-4)

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 used internally for obtaining characteristics of the designs used in calculation formulas.

References

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; 2 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.

Examples

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

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