How to choose effect-size inputs for a defensible power analysis
Use prior evidence, smallest effects of interest, design constraints, and sensitivity analysis instead of an unexplained conventional value.
Read articlePractical guidance on study planning, power, measurement, outcome models, complex data, reproducibility, software workflows, and independent analysis validation.
Use prior evidence, smallest effects of interest, design constraints, and sensitivity analysis instead of an unexplained conventional value.
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Read articleIf the recommendation changes with your design, data structure, measurement, or existing output, discuss the statistical decision in context.
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