lastbound: Final Boundary Given Earlier Boundaries

In ldbounds: Lan-DeMets Method for Group Sequential Boundaries

Final Boundary Given Earlier Boundaries

Description

'lastbound' determines the final boundary value, given earlier values. This can be used, for example, to create Haybittle-Peto boundaries that have the correct overall alpha.

Usage

lastbound(t, t2, alpha=0.05, sides=2, za=NULL, zb)

Arguments

t	a vector of analysis times or a number of analysis times. If the number of analyses is specified, they are assumed to be equally spaced. The last analysis time corresponds to the boundary value that is being calculated.
t2	the second time scale, usually in terms of amount of accumulating information. By default, same as the analysis times corresponding to t.
alpha	Type I error(s). In two-sided situations, alpha can be a single value, indicating symmetric type I error control (half of alpha for each boundary). If a vector of length two is given, this corresponds to the amount allocated to the lower and upper boundaries, respectively. The total alpha must be greater than 0 and less than or equal to 1.
sides	Designates one- or two-sided bounds.
za	the vector of lower boundaries, not including the final analysis time.
zb	the vector of upper boundaries, not including the final analysis time.

Details

This function calculates the final boundary value when all other boundaries have been specified.

Value

'lastbound' returns an object of 'class' '"ldBounds"'.

For details about this object class, see the documentation for the ldBounds function.

Author(s)

Charlie Casper [e-mail]

References

Reboussin, D. M., DeMets, D. L., Kim, K. M., and Lan, K. K. G. (2000) Computations for group sequential boundaries using the Lan-DeMets spending function method. Controlled Clinical Trials, 21:190-207.

DeMets, D. L. and Lan, K. K. G. (1995) Recent Advances in Clinical Trial Design and Analysis, Thall, P. F. (ed.). Boston: Kluwer Academic Publishers.

Lan, K. K. G. and DeMets, D. L. (1983) Discrete sequential boundaries for clinical trials. Biometrika, 70:659-63.

See Also

Generic functions summary.ldBounds and plot.ldPower.

ldBounds for boundaries that use the alpha spending approach.

commonbounds for boundaries that do not use alpha spending.

ldPower for exit probabilities given boundaries OR drift (effect) given power OR confidence interval OR adjusted p-value.

Examples

   # Haybittle-Peto boundary with 3 looks (two-sided)
   hpb <- lastbound(3,zb=c(3,3))
   summary(hpb)
   plot(hpb)

ldbounds documentation built on March 31, 2023, 5:16 p.m.