Abstract
In the multiphase optimization strategy (MOST), an intervention is optimized before it is evaluated in an RCT. The optimization is based on empirical evidence gathered in an optimization trial. This chapter reviews the factorial experiment, which is often a highly efficient way of conducting an optimization trial. The factorial experiment can be used to estimate the effectiveness of each candidate component and also to estimate the extent to which the effect of a component depends on the levels of one or more other components. This chapter also reviews the conclusion-priority and decision-priority perspectives on evaluating empirical data and when it is appropriate to take each perspective. Readers should be familiar with the material in Chaps. 1 and 2.
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Collins, L.M. (2018). Introduction to the Factorial Optimization Trial. In: Optimization of Behavioral, Biobehavioral, and Biomedical Interventions. Statistics for Social and Behavioral Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-72206-1_3
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DOI: https://doi.org/10.1007/978-3-319-72206-1_3
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