New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
about
Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study.Morning surge in blood pressure using a random-effects multiple-component cosinor model.Physical activity phenotyping with activity bigrams, and their association with BMI.Physical Activity and Frailty Among Older Adults In the U.S. Based on Hourly Accelerometry Data.Longitudinal Patterns of Physical Activity Among Older Adults: A Latent Transition Analysis
P2860
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
@ast
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
@en
type
label
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
@ast
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
@en
prefLabel
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
@ast
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
@en
P2093
P2860
P1476
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses
@en
P2093
Andrew Rundle
Jeff Goldsmith
Judith S Jacobson
Xinyue Liu
P2860
P304
P356
10.1249/MSS.0000000000000968
P577
2016-05-13T00:00:00Z