Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials. - Wikidata - wikimedia - TriplyDB

Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials.

Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials.

http://www.wikidata.org/entity/Q30837515

about

Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates.Joint modelling of repeated measurement and time-to-event data: an introductory tutorial.Joint modelling of longitudinal and survival data: incorporating delayed entry and an assessment of model misspecification Bayesian joint modeling of longitudinal and spatial survival AIDS data.JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data.Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical Trials Joint modeling of longitudinal and survival data with a covariate subject to a limit of detection.Joint hierarchical Gaussian process model with application to personalized prediction in medical monitoring.

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Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials.

http://www.wikidata.org/entity/Q30837515

description

2014 nî lūn-bûn

@nan

2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հուլիսին հրատարակված գիտական հոդված

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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

Assessing model fit in joint m ...... ons to cancer clinical trials.

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Assessing model fit in joint m ...... ons to cancer clinical trials.

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Assessing model fit in joint m ...... ons to cancer clinical trials.

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Assessing model fit in joint m ...... ons to cancer clinical trials.

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Assessing model fit in joint m ...... ons to cancer clinical trials.

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Assessing model fit in joint m ...... ons to cancer clinical trials.

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Statistics in Medicine

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Assessing model fit in joint m ...... ons to cancer clinical trials.

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P2093

Danjie Zhang

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Mark E Boye

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Ming-Hui Chen

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Ping Wang

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Wei Shen

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P2860

Assessment of PRO label claims granted by the FDA as compared to the EMA (2006-2010)

Estimating the Dimension of a Model

Adapting the Lung Cancer Symptom Scale (LCSS) to mesothelioma: using the LCSS-Meso conceptual model for validation.

Measuring quality of life in patients with pleural mesothelioma using a modified version of the Lung Cancer Symptom Scale (LCSS): psychometric properties of the LCSS-Meso.

Joint modeling longitudinal semi-continuous data and survival, with application to longitudinal medical cost data.

Joint models for predicting transplant-related mortality from quality of life data.

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

Joint modelling of longitudinal measurements and event time data.

Joint models for multivariate longitudinal and multivariate survival data.

Survival analysis using auxiliary variables via multiple imputation, with application to AIDS clinical trial data.

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scholarly article

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10.1002/SIM.6269

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27

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33

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Joseph G. Ibrahim

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2014-07-20T00:00:00Z

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25044061

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4221436

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