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Sample Size Calculations for Comparing Groups with Continuous Outcomes #MMPMID28955148
ZHENG JZ; LI Y; LIN T; ESTRADA A; LU X; FENG C
Shanghai Arch Psychiatry ä[]; 29 (4): 250-6 PMID28955148show ga
Sample size justification is required for all clinical studies. However, to many biomedical and clinical researchers, power and sample size analysis seems like a magic trick of statisticians. In this note, we discuss power and sample size calculations and show that biomedical and clinical investigators play a significant role in making such analyses possible and meaningful. Thus, power analysis is really an interactive process and scientific researchers and statisticians are equal partners in the research enterprise.