Literature DB >> 2626386

Common statistical errors in morphometry.

N T James1.   

Abstract

Morphometry is the quantitative measurement of morphological features. Data is usually obtained by probabilistic sampling techniques and is often markedly variable due to intrinsic variations in sampled specimens. Statistical analyses are required both to allow for and to control such variability. Care is needed in the analysis of morphometric data if false conclusions are to be avoided. Examination of any reasonably sized sample of publications in morphometry usually results in the detection of at least several common errors of statistical practice. Commonest errors involve statistics being carried out on untransformed percentage data, statistics on ratios, repeated multiple applications of tests designed for single comparisons, misuse of correlation and violations of statistical assumptions.

Mesh:

Year:  1989        PMID: 2626386     DOI: 10.1016/S0344-0338(89)80235-3

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  3 in total

1.  PathMaster: content-based cell image retrieval using automated feature extraction.

Authors:  M E Mattie; L Staib; E Stratmann; H D Tagare; J Duncan; P L Miller
Journal:  J Am Med Inform Assoc       Date:  2000 Jul-Aug       Impact factor: 4.497

Review 2.  The Use of Quantitative Digital Pathology to Measure Proteoglycan and Glycosaminoglycan Expression and Accumulation in Healthy and Diseased Tissues.

Authors:  A Sally Davis; Mary Y Chang; Jourdan E Brune; Teal S Hallstrand; Brian Johnson; Sarah Lindhartsen; Stephen M Hewitt; Charles W Frevert
Journal:  J Histochem Cytochem       Date:  2020-09-16       Impact factor: 2.479

Review 3.  Bias in image analysis and its solution: unbiased stereology.

Authors:  Danielle L Brown
Journal:  J Toxicol Pathol       Date:  2017-03-04       Impact factor: 1.628

  3 in total

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