Basic concepts and methods for joint models of longitudinal and survival data.
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Big data in medical science--a biostatistical viewFlexible parametric joint modelling of longitudinal and survival data.Joint modeling of longitudinal data and discrete-time survival outcome.Joint models for predicting transplant-related mortality from quality of life data.Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working groupJoint modeling of longitudinal and survival data with missing and left-censored time-varying covariates.Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials.Joint modeling of longitudinal health-related quality of life data and survival.Biodemographic Analyses of Longitudinal Data on Aging, Health, and Longevity: Recent Advances and Future Perspectives.Joint modelling of repeated measurement and time-to-event data: an introductory tutorial.Bayesian multivariate augmented Beta rectangular regression models for patient-reported outcomes and survival data.Jointly modeling longitudinal proportional data and survival times with an application to the quality of life data in a breast cancer trial.Cox Regression Models with Functional Covariates for Survival DataDeclines in Strength and Mortality Risk Among Older Mexican Americans: Joint Modeling of Survival and Longitudinal Data.JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data.Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival 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-analysisDynamics of Disease Progression and Gastrostomy Tube Placement in Children and Adolescents with Cystic Fibrosis: Application of Joint Models for Longitudinal and Time-to-Event Data.Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical TrialsPharmacodynamics of Isavuconazole for Invasive Mold Disease: Role of Galactomannan for Real-Time Monitoring of Therapeutic Response.Survival benefit of lung transplant for cystic fibrosis since lung allocation score implementation.Prediction of Conversion to Alzheimer's Disease with Longitudinal Measures and Time-To-Event Data.Measures of prediction error for survival data with longitudinal covariates.Dynamic Prediction of Motor Diagnosis in Huntington's Disease Using a Joint Modeling Approach.Sample size and power determination in joint modeling of longitudinal and survival dataIncreasing chimerism after allogeneic stem cell transplantation is associated with longer survival time.The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span.A pathway EM-algorithm for estimating vaccine efficacy with a non-monotone validation set.Adjusting for measurement error in baseline prognostic biomarkers included in a time-to-event analysis: a joint modelling approach.Predictors of two forms of attrition in a longitudinal health study involving ageing participants: an analysis based on the Whitehall II study.Opioid withdrawal, craving, and use during and after outpatient buprenorphine stabilization and taper: a discrete survival and growth mixture model.Variable-Domain Functional Regression for Modeling ICU DataSystems approaches to molecular cancer diagnostics.Joint modeling of multiple longitudinal patient-reported outcomes and survivalA longitudinal, observational study with many repeated measures demonstrated improved precision of individual survival curves using Bayesian joint modeling of disability and survival.Joint modeling of cross-sectional health outcomes and longitudinal predictors via mixtures of means and variances.Joint modeling of longitudinal outcomes and survival using latent growth modeling approach in a mesothelioma trial.Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues.Modeling Short- and Long-Term Characteristics of Follicle Stimulating Hormone as Predictors of Severe Hot Flashes in Penn Ovarian Aging Study
P2860
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P2860
Basic concepts and methods for joint models of longitudinal and survival data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Basic concepts and methods for joint models of longitudinal and survival data.
@ast
Basic concepts and methods for joint models of longitudinal and survival data.
@en
Basic concepts and methods for joint models of longitudinal and survival data.
@nl
type
label
Basic concepts and methods for joint models of longitudinal and survival data.
@ast
Basic concepts and methods for joint models of longitudinal and survival data.
@en
Basic concepts and methods for joint models of longitudinal and survival data.
@nl
prefLabel
Basic concepts and methods for joint models of longitudinal and survival data.
@ast
Basic concepts and methods for joint models of longitudinal and survival data.
@en
Basic concepts and methods for joint models of longitudinal and survival data.
@nl
P2860
P356
P1476
Basic concepts and methods for joint models of longitudinal and survival data.
@en
P2093
Liddy M Chen
P2860
P304
P356
10.1200/JCO.2009.25.0654
P407
P577
2010-05-03T00:00:00Z