Literature DB >> 4026944

Ploidy pattern analysis. Statistical considerations.

P H Bartels, J E Weber, M Bibbo.   

Abstract

Availability of large data sets of ploidy measurements makes it possible to study ploidy patterns for the diagnostic and prognostic clues they can provide. Appropriate statistical analyses can improve the accuracy and precision of these studies. Such statistical analyses include considerations of sample size requirements for the detection of different types of deviations from normal, analyses of sources of variability in ploidy patterns and assessment of the probabilities of both types of possible errors in patient classification. The advantages of statistical assessment in the classification of ploidy patterns associated with diagnostic categories are discussed in the context of these considerations.

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Year:  1985        PMID: 4026944

Source DB:  PubMed          Journal:  Anal Quant Cytol Histol        ISSN: 0884-6812            Impact factor:   0.302


  1 in total

1.  Computed cell cycle and DNA histogram analyses in image cytometry in breast cancer.

Authors:  R Montironi; L Diamanti; A Santinelli; C Magi Galluzzi; M Scarpelli; I Giannulis; F Mangili
Journal:  J Clin Pathol       Date:  1993-09       Impact factor: 3.411

  1 in total

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