By Jan P. A. Baak M.D., Ph.D., Jan Oort M.D., Ph.D. (auth.)
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Extra resources for A Manual of Morphometry in Diagnostic Pathology
And Huber,J. (1974). Morphometry of the thymus in SIDS. R. Robinson, editor, The Canadian Foundation for the Study oflnfant Deaths, Toronto, pp. 27-41. J. E. (1982a). Experience with routine application of morphometry in diagnostic pathology. In: Morphometry in morphological diagnosis, Y. Collan and T. Romppanen, editors. Kuopio University Press, Kuopio, pp. 97-108. J. E. (1982b). Computer-aided application of quantitative microscopy in diagnostic pathology. Pathol. C. P. Rosen, eds. AppletonCentury-Crofts, Vol.
As case A is closer to the centroid of group I, its classification probability PI is larger than PII . The size of the groups is another factor which influences the assignment probability of future patients ("a 36 Fig. 10. Assignment of new patients to two groups which overlap will result in a greater number of intermediate probabilities depending on the degree of overlap. 22 for group II. l . . ;~w ~S! 1-13: ]I :::II&. III -w 13:1- 1-:::1 1/1 ..... 80 Fig. 11. Classification probabilities of case A to groups I and II of unequal size.
The identification and follow-up of high. risk infants. R. Robinson, editor, London and Toronto, Foundation for the study of infant death, pp. 91-96. W. R. (1971). Multivariate data analysis. , New York. S. R. (1975). Beyond normality: the predictive value and efficiency ofmedical diagnoses. , New York, pp. 10-14. Hart, W. J. (1973). Borderline and malignant mucinous tumors of the ovary: histologic criteria and clinical behaviour. Cancer 31, 1031-1045. Hermans J. F. (1975). Comparison of five methods to estimate posterior probabilities.