seqBound

Sequential upper bounds for cumulative Z-test on accumulating data. Z values are correlated. This is usually used for a group sequential design.

group sequential design

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide Type II and Type III SS. However, the results of nested and complex designs are often different from those of 'SAS'. Different results do not necessarily mean incorrectness. However, many want the same results as 'SAS'. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Kyun-Seop Bae

sasLM

'SAS' Linear Model

seqBound function

<dl> <dt>ti</dt>
<dd>times for the tests. These should be in [0, 1].</dd> <dt>alpha</dt>
<dd>goal alpha value for the last test at time 1.</dd> <dt>side</dt>
<dd>1=one-sided test, 2=two-sided test</dd> <dt>t2</dt>
<dd>fractions of the information amount. These should be in [0, 1]. If not available, ti will be used instead.</dd> <dt>asf</dt>
<dd>alpha spending function. 1=O'Brien-Fleming type (approximate, not exact), 2=Pocock type (approximate, not exact), 3=alpha*ti, 4=alpha*ti^1.5, 5=alpha*ti^2</dd></dl>

Arguments

Author

Sequential bounds for cumulative Z-test in Group Sequential Design — seqBound

<dl>

 <dt>ti</dt>
<dd>times for the tests. These should be in [0, 1].</dd>

 <dt>alpha</dt>
<dd>goal alpha value for the last test at time 1.</dd>

 <dt>side</dt>
<dd>1=one-sided test, 2=two-sided test</dd>

 <dt>t2</dt>
<dd>fractions of the information amount. These should be in [0, 1]. If not available, ti will be used instead.</dd>

 <dt>asf</dt>
<dd>alpha spending function. 1=O'Brien-Fleming type (approximate, not exact), 2=Pocock type (approximate, not exact), 3=alpha*ti, 4=alpha*ti^1.5, 5=alpha*ti^2</dd>

</dl>

seqBound: Sequential bounds for cumulative Z-test in Group Sequential Design

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples