bibtype J - Journal Article
ARLID 0376411
utime 20240103200824.7
mtime 20120511235959.9
WOS 000298264900002
DOI 10.1017/S2040174411000572
title (primary) (eng) Analyzing growth trajectories
specification
page_count 8 s.
serial
ARLID cav_un_epca*0376410
ISSN 2040-1744
title Journal of Developmental Origins of Health and Disease
volume_id 2
volume 6 (2011)
page_num 322-329
keyword data depth contours
keyword growth curves
keyword nonparametric Bayes
author (primary)
ARLID cav_un_auth*0280800
name1 McKeague
name2 I. W.
country US
author
ARLID cav_un_auth*0280801
name1 López-Pintado
name2 S.
country ES
author
ARLID cav_un_auth*0280802
name1 Hallin
name2 M.
country BE
author
ARLID cav_un_auth*0266474
name1 Šiman
name2 Miroslav
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/SI/siman-0376411.pdf
cas_special
project
project_id 1M06047
agency GA MŠk
country CZ
ARLID cav_un_auth*0217941
research CEZ:AV0Z10750506
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.
reportyear 2013
RIV BB
permalink http://hdl.handle.net/11104/0208817
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mrcbT16-C 51.582
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arlyear 2011
mrcbU34 000298264900002 WOS
mrcbU63 cav_un_epca*0376410 Journal of Developmental Origins of Health and Disease 2040-1744 2040-1752 Roč. 2 č. 6 2011 322 329