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10.4103/picr.PICR_123_17

http://scihub22266oqcxt.onion/10.4103/picr.PICR_123_17
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C5654219!5654219!29109937
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suck abstract from ncbi


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pmid29109937      Perspect+Clin+Res 2017 ; 8 (4): 187-91
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  • Common pitfalls in statistical analysis: Measures of agreement #MMPMID29109937
  • Ranganathan P; Pramesh CS; Aggarwal R
  • Perspect Clin Res 2017[Oct]; 8 (4): 187-91 PMID29109937show ga
  • Agreement between measurements refers to the degree of concordance between two (or more) sets of measurements. Statistical methods to test agreement are used to assess inter-rater variability or to decide whether one technique for measuring a variable can substitute another. In this article, we look at statistical measures of agreement for different types of data and discuss the differences between these and those for assessing correlation.
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