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10.11919/j.issn.1002-0829.217101

http://scihub22266oqcxt.onion/10.11919/j.issn.1002-0829.217101
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C5609001!5609001!28955148
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suck abstract from ncbi


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pmid28955148      Shanghai+Arch+Psychiatry ä ; 29 (4): 250-6
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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.
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