A Bayesian approach to functional mixed-effects modeling for longitudinal data with binomial outcomes.
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Detecting time-specific differences between temporal nonlinear curves: Analyzing data from the visual world paradigm.Combining growth curves when a longitudinal study switches measurement tools3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data.
P2860
A Bayesian approach to functional mixed-effects modeling for longitudinal data with binomial outcomes.
description
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
A Bayesian approach to functio ...... l data with binomial outcomes.
@ast
A Bayesian approach to functio ...... l data with binomial outcomes.
@en
type
label
A Bayesian approach to functio ...... l data with binomial outcomes.
@ast
A Bayesian approach to functio ...... l data with binomial outcomes.
@en
prefLabel
A Bayesian approach to functio ...... l data with binomial outcomes.
@ast
A Bayesian approach to functio ...... l data with binomial outcomes.
@en
P2860
P356
P1476
A Bayesian approach to functio ...... l data with binomial outcomes.
@en
P2093
Jacob Oleson
Stephanie Kliethermes
P2860
P304
P356
10.1002/SIM.6166
P407
P577
2014-04-10T00:00:00Z