Novel metrics for growth model selection.

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Novel metrics for growth model selection.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Novel metrics for growth model selection.

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Novel metrics for growth model selection.

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Novel metrics for growth model selection.

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Novel metrics for growth model selection.

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Novel metrics for growth model selection.

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Novel metrics for growth model selection.

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P1476

Novel metrics for growth model selection.

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P2093

Andrew Leroux

http://www.w3.org/2001/XMLSchema#string

Junrui Di

http://www.w3.org/2001/XMLSchema#string

Luo Xiao

http://www.w3.org/2001/XMLSchema#string

Matthew R Grigsby

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P2860

Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese.

Random-effects models for longitudinal data

FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data

Fast Covariance Estimation for High-dimensional Functional Data.

An autoregressive linear mixed effects model for the analysis of longitudinal data which show profiles approaching asymptotes.

Reference data on gains in weight and length during the first two years of life.

Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data.

MULTILEVEL FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS.

Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts

Nonlinear mixed effects models for repeated measures data.

P2888

s12982-018-0072-z

P304

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/S12982-018-0072-Z

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P478

http://www.w3.org/2001/XMLSchema#string

P50

William Checkley

Ciprian Crainiceanu

Vadim Zipunnikov

P577

2018-02-23T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29483933

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P932

5824542

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