Quality control methods in accelerometer data processing: identifying extreme counts
about
Objectively measured physical activity and sedentary time: cross-sectional and prospective associations with adiposity in the Millennium Cohort StudyPredictors of non-response in a UK-wide cohort study of children's accelerometer-determined physical activity using postal methodsUsing functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study.Association of diet in nurseries and physical activity with zBMI in 2-4-year olds in England: a cross-sectional study
P2860
Quality control methods in accelerometer data processing: identifying extreme counts
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Quality control methods in accelerometer data processing: identifying extreme counts
@ast
Quality control methods in accelerometer data processing: identifying extreme counts
@en
type
label
Quality control methods in accelerometer data processing: identifying extreme counts
@ast
Quality control methods in accelerometer data processing: identifying extreme counts
@en
prefLabel
Quality control methods in accelerometer data processing: identifying extreme counts
@ast
Quality control methods in accelerometer data processing: identifying extreme counts
@en
P2860
P50
P1433
P1476
Quality control methods in accelerometer data processing: identifying extreme counts
@en
P2093
Carly Rich
Mario Cortina-Borja
P2860
P304
P356
10.1371/JOURNAL.PONE.0085134
P407
P577
2014-01-13T00:00:00Z