Journal
STATISTICS IN MEDICINE
Volume 29, Issue 21, Pages 2235-2245Publisher
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.3952
Keywords
standard curve; fetus; development process; regression; prediction
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Funding
- Publishing Arts Research Council [98-1846389]
- KAKENHI [17790740, 17700281, 20500257]
- Priority Research Section and University Strategic Goals Section of Organization for the Promotion of Project Research
- Grants-in-Aid for Scientific Research [17790740, 20500257, 17700281, 21590194] Funding Source: KAKEN
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The present paper considers a multidimensional view of the standard for the development process of human fetuses. An efficient method by which to find a multidimensional standard curve for the development process of human fetuses is proposed in which a logistic function with three parameters is utilized as an underlying model and a nonlinear regression method is applied. The proposed method also identifies an approximate prediction region, which can be efficiently applied to diagnose fetal malformation. Copyright (C) 2010 John Wiley & Sons, Ltd.
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