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Gewählte Publikation:

Tsybrovskyy, O; Berghold, A.
Primary unit for statistical analysis in morphometry: patient or cell?
Anal Cell Pathol. 1999; 18(4):191-202 Doi: 10.1155/1999/897698 [OPEN ACCESS]
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Führende Autor*innen der Med Uni Graz
Tsybrovskyy Oleksiy
Co-Autor*innen der Med Uni Graz
Berghold Andrea
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Abstract:
In a series of 16 oxyphilic follicular neoplasms of the thyroid (8 adenomas and 8 carcinomas), three different approaches for the analysis of morphometric data were evaluated. It was shown that the statistical design of morphometric studies is by nature nested due to subsampling of cells within each patient. Therefore, the most appropriate analysis would be to account for this hierarchical structure. However, related statistical methods are not at present well established, especially as far as classification rules are concerned. Therefore, the nested design is converted into the simple factorial one by considering only one kind of statistical unit - either patients or cells. The results of the study presented indicate that ignoring the patient as unit of analysis leads to a substantial error in statistical output, regardless of the particular procedure applied. Moreover, the size of the error can be neither diminished nor controlled. Choosing patients as primary units assures accurate results and also has an advantage of gaining some additional information by calculating several distributional estimates in each patient. However, this approach often requires a reduction of dimensions and, furthermore, is not encouraged in certain fields of quantitative cytology. Advantages and disadvantages of all approaches have been summarized and practical recommendations for their use have been worked out.
Find related publications in this database (using NLM MeSH Indexing)
Adenocarcinoma, Follicular - pathology
Adenoma, Oxyphilic - pathology
Analysis of Variance - pathology
Discriminant Analysis - pathology
Evaluation Studies - pathology
Humans - pathology
Image Processing, Computer-Assisted - methods
Models, Statistical - methods
Thyroid Neoplasms - pathology

Find related publications in this database (Keywords)
Computer Assisted Image Analysis
Statistical Analysis
Nested Design
Thyroid
Oxyphilic Neoplasms
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