mlpwr (Q93731)
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A Power Analysis Toolbox to Find Cost-Efficient Study Designs
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | mlpwr |
A Power Analysis Toolbox to Find Cost-Efficient Study Designs |
Statements
7 August 2023
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We implement a surrogate modeling algorithm to guide simulation-based sample size planning. The method is described in detail in a recent preprint (Zimmer & Debelak (2022) <doi:10.31234/osf.io/tnhb2>). It supports multiple study design parameters and optimization with respect to a cost function. It can find optimal designs that correspond to a desired statistical power or that fulfill a cost constraint.
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