Statistical methods for constructing gestational age-related charts for fetal size and pregnancy dating using longitudinal data

• Autorzy: Hynek M. , Kalina J. , Zvárová J. , Long J. D.

Identyfikatory

DOI

10.1016/j.bbe.2018.09.001

• Języki publikacji: EN

Abstrakty

EN

The assessment of fetal size and the accurate estimation of gestational age are of crucial importance for proper pregnancy management. The information is almost exclusively based on ultrasound measurements of fetal biometric parameters and the means for evaluating these measurements are age-related reference charts (centile charts) allowing interpretation of obtained fetal measurement in comparison with the expected average measurement in the reference population. The construction of such reference charts requires an appropriate statistical methodology. The most frequent method for the construction of fetal reference charts from cross-sectional data is the parametric approach with fractional polynomials regression functions for the mean and standard deviation of each fetal measurement. This article suggests how this method can be extended to longitudinal data using fractional polynomials in linear mixed effect regression. The presented approach includes maximum likelihood estimation for fitting first- and second-order fractional polynomial models, and multimodel inference using Akaike's information criterion and related tools as a suitable strategy for model selection. Finally, an example of the suggested approach is presented.

Słowa kluczowe

EN

fetal size; fetal reference charts; longitudinal data; mixed effects model; regression quantiles; multimodel inference

PL

wielkość płodu; dane przekrojowe; model mieszany; regresja kwantylowa; wnioskowanie multimodelowe

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2018
• Tom: Vol. 38, no. 4
• Strony: 992--1003
• Opis fizyczny: Bibliogr. 47 poz., tab., wykr.

Twórcy

autor

Hynek M.

• Gennet, Centre for Fetal Medicine and Reproductive Genetics, Kostelní 9, 170 00 Praha 7, Czech Republic; Department of Gynecology and Obstetrics, Thomayer Hospital, Prague, Czech Republic

autor

Kalina J.

• The Czech Academy of Science, Institute of Computer Science, Prague, Czech Republic

autor

Zvárová J.

• The Czech Academy of Science, Institute of Computer Science, Prague, Czech Republic; Institute of Hygiene and Epidemiology, First Faculty of Medicine, Charles University, Prague, Czech Republic

autor

Long J. D.

• Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, United States; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, United States

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