Description Usage Arguments Details Value Note Author(s) References See Also Examples

The function constructs the sequences of a Williams design via the algorithm given by Sheehe and Bross.

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`ntmt` |
Number of treatments. Must be an integer >1. |

`tmts` |
NULL or a vector of treatment codes. |

A Williams design is a crossover design in which each subject receives each
treatment. The design is balanced over periods. The design has additionally the
further feature that every treatment follows every other treatment the same
number of times. It is said that these designs are balanced for first order
carry over effects.

For an even number of treatments the design is a Latin square. For an odd number
the design is a combination of two Latin squares.

Although the balance to first order carry over effects is not absolutely necessary
in well planned BE studies with sufficient washout the Williams designs were
traditionally used in `"3x6x3"`

`"4x4"`

crossover studies.

The sequences are created originally within the ABC... notation. If `tmts`

are given the sequences are returned based on these treatment codes.

Returns a character vector of the sequences.

If ntmt>3 the design returned is randomly chosen from the possible designs.

A similar but simpler function was contained in the package `crossdes`

.
But this package was removed from the CRAN repository.

D. Labes

Williams, E. J. (1949) "Experimental designs balanced for the estimation of residual effects of treatments" Australian J. of Scientific Research, Ser. A 2, 149-168.

Sheehe PR, Bross IDJ (1961) "Latin Squares to Balance Immediate Residual and Other Effects." Biometrics, 17, 405-414.

Jones B, Kenward MG (2003). "Design and Analysis of Cross-Over Trials" 2nd edition. Chapman & Hall, London.

Bing-Shun Wang, Xiao-Jin Wang, Li-Kun Gong (2009) "The Construction of a Williams Design and Randomization in Cross-Over Clinical Trials Using SAS" J. of Statistical Software, Volume 29, Code Snippet 1

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