An approach to joint analysis of longitudinal measurements and competing risks failure time data.
about
Recreational drug use and T lymphocyte subpopulations in HIV-uninfected and HIV-infected menJoint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson's diseaseJoint modeling of HIV data in multicenter observational studies: A comparison among different approaches.Joint modeling of longitudinal health-related quality of life data and survival.Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective.Robust joint modeling of longitudinal measurements and competing risks failure time dataA Bayesian approach to joint analysis of longitudinal measurements and competing risks failure time data.A robust method for comparing two treatments in a confirmatory clinical trial via multivariate time-to-event methods that jointly incorporate information from longitudinal and time-to-event data.Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt-PA stroke trialA general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects.Joint modeling of multivariate longitudinal data and the dropout process in a competing risk setting: application to ICU dataAnalysis of a composite endpoint with longitudinal and time-to-event data.Markov Transition Model to Dementia with Death as a Competing Event.A joint model of longitudinal and competing risks survival data with heterogeneous random effects and outlying longitudinal measurementsBayesian inference of the fully specified subdistribution model for survival data with competing risksSemicompeting risks in aging research: methods, issues and needs.Joint Analysis of Survival Time and Longitudinal Categorical Outcomes.Joint modelling of longitudinal outcome and interval-censored competing risk dropout in a schizophrenia clinical trial.Effects of 1-year treatment with cyclophosphamide on outcomes at 2 years in scleroderma lung disease.Scleroderma lung study (SLS): differences in the presentation and course of patients with limited versus diffuse systemic sclerosisEnvironmental epigenetics: prospects for studying epigenetic mediation of exposure-response relationships.Joint modeling quality of life and survival using a terminal decline model in palliative care studies.Modelling variable dropout in randomised controlled trials with longitudinal outcomes: application to the MAGNETIC study.The Combined Assessment of Function and Survival (CAFS): a new endpoint for ALS clinical trials.Joint modeling of survival time and longitudinal outcomes with flexible random effects.A semiparametric joint model for terminal trend of quality of life and survival in palliative care research.Regularized approach for data missing not at random.Correlated probit analysis of repeatedly measured ordinal and continuous outcomes with application to the Health and Retirement Study.Is postoperative cognitive decline clinically relevant?DYNAMIC PREDICTION FOR MULTIPLE REPEATED MEASURES AND EVENT TIME DATA: AN APPLICATION TO PARKINSON'S DISEASE.Accommodating informative dropout and death: a joint modelling approach for longitudinal and semi-competing risks data.Joint Modeling of Repeated Measures and Competing Failure Events In a Study of Chronic Kidney Disease.Joint longitudinal and survival-cure models in tumour xenograft experiments.A Proposed Approach for Joint Modeling of the Longitudinal and Time-To-Event Data in Heterogeneous Populations: An Application to HIV/AIDS's Disease.
P2860
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P2860
An approach to joint analysis of longitudinal measurements and competing risks failure time data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
An approach to joint analysis ...... eting risks failure time data.
@ast
An approach to joint analysis ...... eting risks failure time data.
@en
type
label
An approach to joint analysis ...... eting risks failure time data.
@ast
An approach to joint analysis ...... eting risks failure time data.
@en
prefLabel
An approach to joint analysis ...... eting risks failure time data.
@ast
An approach to joint analysis ...... eting risks failure time data.
@en
P2093
P2860
P356
P1476
An approach to joint analysis ...... eting risks failure time data.
@en
P2093
Robert M Elashoff
P2860
P304
P356
10.1002/SIM.2749
P407
P577
2007-06-01T00:00:00Z