Abstract
The birth of non-parametric statistics is historically related to the solution of methodologic problems in experimental psychology. It was Stanley S. Stevens (1906-1973) who solved the question about the inappropriate use of measurement scales; he also proposed a new classification that gave rise to the distinction between nominal scales, rank scales, interval scales and continuous scales, a distinction we introduced in Chapter 2 (see Table 2.1). Based on this, behavioral science statistics was developed in the 1940s, in part thanks to other researchers such as Quinn McNemar (1900-1986), Frederick Mosteller (b., 1916) and Anthony W.F. Edwards (b., 1935), with a large use of non-parametric methods [CARACCIOLO, 1992]. Moreover, non-parametric statistics is also the result of a broader discussion between the founding fathers of Theoretical Statistics and the founding fathers of Modern Statistics (see Introduction to Chapter 4).
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References
Altman DG (1991) Practical statistics for medical research. London. Chapman & Hall, pp 210–212
Armitage P, Berry G (1994) Statistical methods in medical research. 3rd edn. Oxford. Blackwell
Boehm T, Willmann JK, Hilfiker PR et al (2003) Thin-section CT of the lung: does electrocardiographic triggering influence diagnosis? Radiology 229:483–491
Caracciolo E (1992) Introduction to the 2nd italian edn. of: Siegel S and Castellan NJ jr. Statistica non parametrica: Milan. Mc-Graw-Hill
Conover WJ (1999) Practical nonparametric statistics. 3rd edn. New York. Wiley
Greenhalgh T (2006) How to read a paper. The basics of evidence-based medicine. 3rd edn. Oxford. BMJ books, Blackwell, p 79
Leisenring W, Pepe MS, Longton G (1997) A marginal regression modelling framework for evaluating medical diagnostic tests. Stat Med 16:1263–1281
Leisenring W, Pepe MS (1998) Regression modelling of diagnostic likelihood ratios for the evaluation of medical diagnostic tests. Biometrics 54:444–452
McNemar Q (1969) Psychological statistics. 4th edn. New York. Wiley
Sardanelli F, Zandrino F, Imperiale A et al (2000) Breast biphasic compression versus standard monophasic compression in x-ray mammography. Radiology 217:576–580
Siegel S, Castellan NJ jr (1992) Statistica non parametrica: 2° edizione italiana a cura di Caracciolo E. Milan. Mc-Graw-Hill
Soliani L (2007) Statistica applicata alla ricerca e alle professioni scientifiche. Manuale di statistica univariata e bivariata. Parma. Uninova-Gruppo Pegaso; 9: 1–2 (http://www.dsa.unipr.it/soliani/soliani.html)
Willmann JK, Weishaupt D, Lachat M et al (2002) Electrocardiographically gated multi-detector row CT for assessment of valvular morphology and calcification in aortic stenosis. Radiology 225:120–128
Yates F (1934) Contingency tables involving small numbers and the test χ2. J R Stat Society Suppl 1:217–235
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(2009). Non-Parametric Statistics. In: Biostatistics for Radiologists. Springer, Milano. https://doi.org/10.1007/978-88-470-1133-5_6
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DOI: https://doi.org/10.1007/978-88-470-1133-5_6
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