A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using Monte Carlo Expectation-Maximization with Application to AIDS Studies.

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A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using Monte Carlo Expectation-Maximization with Application to AIDS Studies.

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2014 nî lūn-bûn

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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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A Copula Approach to Joint Mod ...... h Application to AIDS Studies.

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A Copula Approach to Joint Mod ...... h Application to AIDS Studies.

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A Copula Approach to Joint Mod ...... h Application to AIDS Studies.

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A Copula Approach to Joint Mod ...... h Application to AIDS Studies.

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A Copula Approach to Joint Mod ...... h Application to AIDS Studies.

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A Copula Approach to Joint Mod ...... h Application to AIDS Studies.

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P1476

A Copula Approach to Joint Mod ...... h Application to AIDS Studies.

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P2093

M Ganjali

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T Baghfalaki

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P2860

A Bayesian semiparametric joint hierarchical model for longitudinal and survival data.

Joint modelling of longitudinal measurements and event time data.

Latent pattern mixture models for informative intermittent missing data in longitudinal studies.

A two-part joint model for the analysis of survival and longitudinal binary data with excess zeros.

Joint regression analysis of correlated data using Gaussian copulas.

Joint inference for nonlinear mixed-effects models and time to event at the presence of missing data.

Robust joint modeling of longitudinal measurements and competing risks failure time data

Response of CD4 lymphocytes and clinical consequences of treatment using ddI or ddC in patients with advanced HIV infection.

Joint modelling of repeated measurements and time-to-event outcomes: the fourth Armitage lecture.

Simultaneous Bayesian inference for linear, nonlinear and semiparametric mixed-effects models with skew-normality and measurement errors in covariates.

P304

1077-1099

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scholarly article

P356

10.1080/10543406.2014.971584

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2014-11-05T00:00:00Z

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264286703

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25372017

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