Joint latent class models for longitudinal and time-to-event data: a review.
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Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the artMethods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients.A Bayesian approach to joint analysis of multivariate longitudinal data and parametric accelerated failure time.Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival.Joint modelling of repeated measurement and time-to-event data: an introductory tutorial.Predicting Clinical Binary Outcome Using Multivariate Longitudinal Data: Application to Patients with Newly Diagnosed Primary Open-Angle Glaucoma.Joint latent class model for longitudinal data and interval-censored semi-competing events: Application to dementia.A joint model for longitudinal and survival data based on an AR(1) latent process.Joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysisValidation of death prediction after breast cancer relapses using joint models.Joint modeling of cross-sectional health outcomes and longitudinal predictors via mixtures of means and variances.A joint latent class model for classifying severely hemorrhaging trauma patientsJoint 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 StudyIndividualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validationEvolution of the levels of human leukocyte antigen G (HLA-G) in Beninese infant during the first year of life in a malaria endemic area: using latent class analysis.Real-time individual predictions of prostate cancer recurrence using joint models.Rethinking the dose-response relationship between usage and outcome in an online intervention for depression: randomized controlled trial.Prediction of coronary artery disease risk based on multiple longitudinal biomarkers.Joint Models for Multiple Longitudinal Processes and Time-to-event OutcomeCognitive lifestyle jointly predicts longitudinal cognitive decline and mortality riskJoint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach.Joint modeling of survival time and longitudinal outcomes with flexible random effects.Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease.Neurofibrillary Tangle Stage and the Rate of Progression of Alzheimer Symptoms: Modeling Using an Autopsy Cohort and Application to Clinical Trial Design.A latent class model for competing risks.Personalized dynamic prediction of death according to tumour progression and high-dimensional genetic factors: Meta-analysis with a joint model.Identifying subgroups of renal function trajectories.Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types.HIGH AND LOW THRESHOLD FOR STARTLE REACTIVITY ASSOCIATED WITH PTSD SYMPTOMS BUT NOT PTSD RISK: EVIDENCE FROM A PROSPECTIVE STUDY OF ACTIVE DUTY MARINES.Reply: To PMID 25738953.Sleeping difficulty, disease and mortality in older women: a latent class analysis and distal survival analysis.BMI, male sex and IL28B genotype associated with persistently high hepatitis C virus RNA levels among chronically infected drug users up to 23 years following seroconversion.DYNAMIC PREDICTION FOR MULTIPLE REPEATED MEASURES AND EVENT TIME DATA: AN APPLICATION TO PARKINSON'S DISEASE.Analysis of risk factors associated with renal function trajectory over time: a comparison of different statistical approaches.Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks.An alternative classification to mixture modeling for longitudinal counts or binary measures.A Proposed Approach for Joint Modeling of the Longitudinal and Time-To-Event Data in Heterogeneous Populations: An Application to HIV/AIDS's Disease.Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data.
P2860
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P2860
Joint latent class models for longitudinal and time-to-event data: a review.
description
2012 nî lūn-bûn
@nan
2012 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Joint latent class models for longitudinal and time-to-event data: a review.
@ast
Joint latent class models for longitudinal and time-to-event data: a review.
@en
Joint latent class models for longitudinal and time-to-event data: a review.
@nl
type
label
Joint latent class models for longitudinal and time-to-event data: a review.
@ast
Joint latent class models for longitudinal and time-to-event data: a review.
@en
Joint latent class models for longitudinal and time-to-event data: a review.
@nl
prefLabel
Joint latent class models for longitudinal and time-to-event data: a review.
@ast
Joint latent class models for longitudinal and time-to-event data: a review.
@en
Joint latent class models for longitudinal and time-to-event data: a review.
@nl
P2093
P2860
P356
P1476
Joint latent class models for longitudinal and time-to-event data: a review.
@en
P2093
Cécile Proust-Lima
Jeremy M G Taylor
Mbéry Séne
P2860
P356
10.1177/0962280212445839
P577
2012-04-19T00:00:00Z