Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group
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Associations between community-level disaster exposure and individual-level changes in disability and risk of death for older AmericansComments on 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian Joint Modeling Working Group'.Joint modelling of longitudinal and survival data: incorporating delayed entry and an assessment of model misspecificationDeclines in Strength and Mortality Risk Among Older Mexican Americans: Joint Modeling of Survival and Longitudinal Data.Performance of joint modelling of time-to-event data with time-dependent predictors: an assessment based on transition to psychosis data.Joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysisDynamic predictions using flexible joint models of longitudinal and time-to-event data.Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues.stpm: an R package for stochastic process model.Flexible Bayesian additive joint models with an application to type 1 diabetes research.Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancerJoint longitudinal hurdle and time-to-event models: an application related to viral load and duration of the first treatment regimen in patients with HIV initiating therapy.Investigation of 2-stage meta-analysis methods for joint longitudinal and time-to-event data through simulation and real data application.A new method for analysing transition to psychosis: Joint modelling of time-to-event outcome with time-dependent predictors.Joint modeling of longitudinal and survival data with a covariate subject to a limit of detection.Development and performance of npde for the evaluation of time-to-event models.Mammographic Density Reduction as a Prognostic Marker for Postmenopausal Breast Cancer: Results Using a Joint Longitudinal-Survival Modeling Approach.Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes.Longitudinal body weight and sputum conversion in patients with tuberculosis, Southwest Ethiopia: a retrospective follow-up study
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Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Joint modeling of survival and ...... n joint modeling working group
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Joint modeling of survival and ...... n joint modeling working group
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type
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Joint modeling of survival and ...... n joint modeling working group
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Joint modeling of survival and ...... n joint modeling working group
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Joint modeling of survival and ...... n joint modeling working group
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Joint modeling of survival and ...... n joint modeling working group
@en
P2093
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Joint modeling of survival and ...... n joint modeling working group
@en
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A Lawrence Gould
Frederic Y Bois
George Quartey
Mark Ernest Boye
Sandrine Micallef
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P304
P356
10.1002/SIM.6141
P407
P577
2014-03-14T00:00:00Z