Mixed models approaches for joint modeling of different types of responses.

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Mixed models approaches for joint modeling of different types of responses.

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2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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Mixed models approaches for joint modeling of different types of responses.

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Mixed models approaches for joint modeling of different types of responses.

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Mixed models approaches for joint modeling of different types of responses.

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P1476

Mixed models approaches for joint modeling of different types of responses.

@en

P2093

Anna Ivanova

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Geert Verbeke

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P2860

Random-effects models for longitudinal data

An extended random-effects approach to modeling repeated, overdispersed count data.

Interdisciplinary diabetes care teams operating on the interface between primary and specialty care are associated with improved outcomes of care: findings from the Leuven Diabetes Project.

Screening for prostate cancer using multivariate mixed-effects models.

An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random.

A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretation.

Bivariate linear mixed models using SAS proc MIXED.

The use of score tests for inference on variance components.

Variance components testing in the longitudinal mixed effects model.

Estimating correlation by using a general linear mixed model: evaluation of the relationship between the concentration of HIV-1 RNA in blood and semen.

P304

601-618

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P31

scholarly article

P356

10.1080/10543406.2015.1052487

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P433

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P478

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P50

Geert Molenberghs

P577

2015-06-22T00:00:00Z

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P5875

278969020

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P698

26098411

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