Longitudinal growth data are valuable for predicting and interpreting future growth of individual children. This note explores the idea of ‘curve matching', a new technique to improve prediction of future growth of an individual child. The key idea is to find existing children in existing databases that are similar to the current child. The growth patterns of the matched children suggest how the current child might evolve in the future. This paper describes the various conceptual and practical issues that need to be addressed before the idea can take off. A demo implementation is available at http://vps.stefvanbuuren.nl:3838/frisodemo/.

1.
Bocca-Tjeertes IFA, van Buuren S, Bos AF, Kerstens JM, ten Vergert EM, Reijneveld SA: Growth of preterm and fullterm children aged 0-4 years: integrating median growth and variability in growth charts. J Pediatr 2012;161:460-465.
2.
Little RJA: Missing-data adjustments in large surveys (with discussion). J Business Econ Statist 1988;6:287-301.
3.
van Buuren S: Flexible Imputation of Missing Data. Boca Raton, Chapman & Hall/CRC, 2012.
4.
van Dommelen P, van Buuren S: Methods to obtain referral criteria in growth monitoring. Stat Methods Med Res 2013;23:369-389.
5.
Berkey CS, Kent RL: Longitudinal principal components and non-linear regression models of early childhood growth. Ann Hum Biol 1983;10:523-536.
6.
Hauspie R, Cameron N, Molinari L (eds): Methods in Human Growth Research. Cambridge, Cambridge University Press, 2004.
7.
Meigen C, Hermanussen M: Automatic analysis of longitudinal growth data on the website willi-will-wachsen.de. Homo 2003;54:157-161.
Copyright / Drug Dosage / Disclaimer
Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.
You do not currently have access to this content.