One-Sided Symmetric Designs

A one-sided symmetric design is a one-sided design with identical Type I and Type II error probabilities. For a one-sided symmetric design with an upper alternative, , the boundary values in the score scale from continuous monitoring are as follows:

where is the upper alternative reference, is a specified constant for the slope, , and is a constant, fixed for STOP=BOTH and derived for STOP=ACCEPT and STOP=REJECT.

The upper boundary value can also be expressed as

Thus, these straight-line boundaries form a triangle in the score statistic scale.

To adjust for the nature of discrete monitoring, the group sequential boundary values are given by the following:

where and , are the adjustments.

Note that with the adjustment , the resulting boundaries form a Christmas tree shape within the original triangle and are referred to as the Christmas tree boundaries (Whitehead 1997, p. 73).

One-Sided Asymmetric Designs

For a one-sided asymmetric design with an upper alternative, , the boundary values computed using the score scale, are given by the following:

where is the modified alternative reference

The modified alternative reference if .

For a design with early stopping to reject or accept the null hypothesis, , the boundary values at the final stage are equal. The modified drift parameter is given by

where .

A one-sided Whitehead design with early stopping to reject or accept the null hypothesis is illustrated in Example 78.7.

Two-Sided Designs

The boundary values for a two-sided design are generated by combining boundary values from two one-sided designs. With the STOP=BOTH option, this produces a double triangular design (Whitehead 1997, p. 98).

The boundary values for a two-sided design, using the score scale, are then given by the following:

where the modified alternative references are

The modified alternative reference if and if .

For a design with early stopping to reject or accept the null hypothesis, the two upper boundary values at the final stage are identical and the two lower boundary values at the final stage are identical. That is, and . These modified drift parameters are then given by

where .

For a design with early stopping to reject the null hypothesis, or a design with early stopping to accept the null hypothesis, you can specify the slope parameters and in the TAU= option, and then the intercept parameters and , and the resulting boundary values are derived. If both the maximum information and alternative references are specified, the procedure derives and by maintaining either the overall levels (BOUNDARYKEY=ALPHA) or the overall levels (BOUNDARYKEY=BETA). If the maximum information and alternative reference are not both specified, the procedure derives the boundary values and by maintaining both the overall and overall levels.

For a design with early stopping to reject or accept the null hypothesis (STOP=BOTH), Whitehead’s triangular test uses and compute and for the boundary values. If the maximum information and alternative reference are both specified, the BOUNDARYKEY=ALPHA option uses the specified values to compute the values and boundary values. The final-stage boundary values are modified to maintain the overall levels if they exist. Similarly, the BOUNDARYKEY=BETA option uses the specified values to compute the values and boundary values. The final-stage boundary values are modified to maintain the overall levels if they exist.

If the maximum information and alternative reference are not both specified, the specified and values are used to derive boundary values. The BOUNDARYKEY=NONE option uses these boundary values without adjustment. The BOUNDARYKEY=ALPHA option modifies the final-stage boundary values to maintain the overall levels if they exist. Similarly, the BOUNDARYKEY=BETA option modifies the final-stage boundary values to maintain the overall levels if they exist.

Two-sided Whitehead designs with early stopping to reject the null hypothesis are illustrated in Example 78.9.

Applicable Boundary Keys

Table 78.7 lists applicable boundary keys for a design that uses Whitehead methods.

Note that the symbol "X" under "(Alt Ref – Max Info)" indicates that both alternative reference and maximum information are specified.

For a design with early stopping to reject the null hypothesis, or a design with early stopping to accept the null hypothesis, you can specify the slope parameter in the TAU= option, and then the intercept parameter and the resulting boundary values are derived. If both the maximum information and alternative reference are specified, the procedure derives by maintaining either the overall levels (BOUNDARYKEY=ALPHA) or the overall levels (BOUNDARYKEY=BETA). If the maximum information and alternative reference are not both specified, the procedure derives the boundary values and by maintaining both the overall and overall levels.

For a design with early stopping to reject or accept the null hypothesis (STOP=BOTH), Whitehead’s triangular test uses and solves for the boundary values. If the maximum information and alternative reference are both specified, the BOUNDARYKEY=ALPHA option uses the specified value to compute the value and boundary values. The final-stage boundary value is modified to maintain the overall level if it exists. Similarly, the BOUNDARYKEY=BETA option uses the specified value to compute the value and boundary values. The final-stage boundary value is modified to maintain the overall level if it exists.

If the maximum information and alternative reference are not both specified, the specified and values are used to derive boundary values. The BOUNDARYKEY=NONE option uses these boundary values without adjustment. The BOUNDARYKEY=ALPHA option modifies the final-stage boundary value to maintain the overall level if it exists. Similarly, the BOUNDARYKEY=BETA option modifies the final-stage boundary value to maintain the overall level if it exists.