boundary2alpha

This function converts normal critical boundaries to cumulative alpha levels.

The trigger strategy is a general framework for a multistage statistical design with multiple hypotheses, allowing an adaptive selection of interim analyses. The selection of interim stages can be associated with some prespecified endpoints which serve as the trigger. This selection allows us to refine the critical boundaries in hypotheses testing procedures, and potentially increase the statistical power. This package includes several trial designs using the trigger strategy.
See Gou, J. (2023), "Trigger strategy in repeated tests on multiple hypotheses", Statistics in Biopharmaceutical Research, 15(1), 133-140, and Gou, J. (2022), "Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints", Biometrical Journal, 64(2), 301-311.

Jiangtao Gou

triggerstrategy

Trigger Strategy in Clinical Trials

Fengqing (Zoe) Zhang

boundary2alpha function

<dl><dt>cvec</dt>
<dd>a vector of critical boundaries</dd>
<dt>t</dt>
<dd>a vector of information times</dd></dl>

Arguments

Jiangtao Gou
Fengqing Zhang

Author

Convert normal critical boundaries to cumulative alpha levels. — boundary2alpha

<dl>

<dt>cvec</dt>
<dd>a vector of critical boundaries</dd>


<dt>t</dt>
<dd>a vector of information times</dd>

</dl>

boundary2alpha: Convert normal critical boundaries to cumulative alpha levels.

Description

Usage

Value

Arguments

Author

Examples