Key result
New formulas and charts enable sample size calculations for comparing two independent rank correlation coefficients.
Why the study?
Power and sample size considerations are often neglected in studies using correlation analysis, and accessible tools for comparing two independent Spearman or Kendall coefficients are lacking.
Key points are not available for this paper at this time.
Comparison
Two independent Spearman or Kendall correlation coefficients
Design
Methodological study providing formulas and charts for sample size calculation
No takes yet. Share an insight, caveat, or question.
May aid precise planning of correlation studies; leaves open validation and software integration in cardiovascular research.
May et al. (2022) studied this question. Formulas and charts were developed to calculate the required sample size for testing the hypothesis that two independent Spearman or Kendall correlation coefficients are equal.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: