Crossover sample size and paired precision
Model within-participant variation and precision
Precision depends on within-participant variability and correlation, as well as attrition across periods. Do not substitute an independent-groups calculation for a repeated-measure design.
Flow diagram
Steps
Define primary paired contrast
Specify outcome scale and testing or estimation objective.
Specify within-participant variation
Record correlation, difference variability and supporting evidence.
Account for period structure
Include planned sequences, treatment periods and analysis model.
Assess incomplete sequences
Plan attrition and missing-period scenarios.
Document precision or power scenarios
Record methods, software and assumptions rather than fixed defaults.
Crossover sample size and paired precision
End flow
Tables and supporting information
Paired design scenarios
Use formulas or simulation compatible with the planned crossover analysis.
Variance of a paired treatment difference
Parallel-group sample-size assumptions are not interchangeable with paired crossover assumptions.
Method and protocol evidence
Attach the protocol, methodological sources and versioned software specification supporting these decisions. Record citations and provenance; do not enter participant identifiers.