Common pitfalls in statistical analysis: Measures of agreement.
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TLDR
This article looks at statistical measures of agreement for different types of data and discusses the differences between these and those for assessing correlation.Abstract:
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.read more
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References
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Common pitfalls in statistical analysis: Logistic regression.
TL;DR: In this article, a statistical technique to evaluate the relationship between various predictor variables and an outcome which is binary is discussed.
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Common pitfalls in statistical analysis: The use of correlation techniques
TL;DR: The interpretation of the correlation coefficient is looked at and various situations in which the use of technique of correlation may be inappropriate are examined.
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Accuracy and Reliability of Pallor for Detecting Anaemia: A Hospital-Based Diagnostic Accuracy Study
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Scoring of hand eczema : good reliability of hand eczema extent score
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Gleason’s Grading of Prostatic Adenocarcinoma: Inter-Observer Variation Among Seven Pathologists at a Tertiary Care Center in Oman
Asim Qureshi,Ritu Lakhtakia,Maiya Al Bahri,Ibrahim Al Haddabi,Anna Saparamadu,Asem Shalaby,Marwa Al Riyami,Gauhar Rizvi +7 more
TL;DR: To determine inter-observer variation among 7 pathologists working at a tertiary care center in Oman, a total of 47 consecutive prostatic biopsies were interdependently reviewed by seven pathologists and the results obtained were compared with each other and the original diagnosis.
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