Institute of Information Theory and Automation

Publication details

Analyzing growth trajectories

Journal Article

McKeague I. W., López-Pintado S., Hallin M., Šiman Miroslav


serial: Journal of Developmental Origins of Health and Disease vol.2, 6 (2011), p. 322-329

research: CEZ:AV0Z10750506

project(s): 1M06047, GA MŠk

keywords: data depth contours, growth curves, nonparametric Bayes

abstract (eng):

This article proposes some new nonparametric approaches to analyzing sparse data on growth trajectories, with flexibility and ease of implementation being key features. The methods are illustrated using data on participants in the Collaborative Perinatal Project.

RIV: BB

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Last modification: 21.12.2012
Institute of Information Theory and Automation