Shared parameter models for the joint analysis of longitudinal data and event times.
about
Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the artForaging fidelity as a recipe for a long life: foraging strategy and longevity in male Southern Elephant SealsPharmacogenetic approach at the serotonin transporter gene as a method of reducing the severity of alcohol drinking.Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event.A Seminonparametric Approach to Joint Modeling of A Primary Binary Outcome and Longitudinal Data Measured at Discrete Informative TimesJoint modeling of longitudinal data and discrete-time survival outcome.Quantitative genetic modeling and inference in the presence of nonignorable missing data.Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival.Explicating the Conditions Under Which Multilevel Multiple Imputation Mitigates Bias Resulting from Random Coefficient-Dependent Missing Longitudinal Data.A score test for association of a longitudinal marker and an event with missing dataUsing a shared parameter mixture model to estimate change during treatment when termination is related to recovery speed.A nonstationary Markov transition model for computing the relative risk of dementia before deathModelling batched Gaussian longitudinal weight data in mice subject to informative dropout.A test for the relationship between a time-varying marker and both recovery and progression with missing data.Joint modeling of longitudinal changes in depressive symptoms and mortality in a sample of community-dwelling elderly people.Nonparametric multistate representations of survival and longitudinal data with measurement error.Jointly modeling the relationship between longitudinal and survival data subject to left truncation with applications to cystic fibrosis.The effect of changes in intraocular pressure on the risk of primary open-angle glaucoma in patients with ocular hypertension: an application of latent class analysisSafety and efficacy of ceftriaxone for amyotrophic lateral sclerosis: a multi-stage, randomised, double-blind, placebo-controlled trial.A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome.Angiotensin blockade in late autosomal dominant polycystic kidney disease.Rationale and design of REWARD (revving-up exercise for sustained weight loss by altering neurological reward and drive): a randomized trial in obese endometrial cancer survivors.A Joint Model for Prognostic Effect of Biomarker Variability on Outcomes: long-term intraocular pressure (IOP) fluctuation on the risk of developing primary open-angle glaucoma (POAG)Joint modeling of longitudinal, recurrent events and failure time data for survivor's population.A method to construct a points system to predict cardiovascular disease considering repeated measures of risk factors.Minimizing attrition bias: a longitudinal study of depressive symptoms in an elderly cohort.The Combined Assessment of Function and Survival (CAFS): a new endpoint for ALS clinical trials.Analytic Considerations for Repeated Measures of eGFR in Cohort Studies of CKD.Joint modeling of outcome, observation time, and missingness.Accelerated failure time model for case-cohort design with longitudinal covariates subject to measurement error and detection limits.Joint multiple imputation for longitudinal outcomes and clinical events that truncate longitudinal follow-up.Cognition and quality of life after chemotherapy plus radiotherapy (RT) vs. RT for pure and mixed anaplastic oligodendrogliomas: radiation therapy oncology group trial 9402.Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling.Comparison of analysis approaches for phase III clinical trials in amyotrophic lateral sclerosis.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.Logistic regression when covariates are random effects from a non-linear mixed model.A pattern-mixture model with nonfuture dependence and shift in current missing values.A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event.Randomized, double-blind, placebo-controlled trial of arimoclomol in rapidly progressive SOD1 ALS.
P2860
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P2860
Shared parameter models for the joint analysis of longitudinal data and event times.
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Shared parameter models for the joint analysis of longitudinal data and event times.
@ast
Shared parameter models for the joint analysis of longitudinal data and event times.
@en
type
label
Shared parameter models for the joint analysis of longitudinal data and event times.
@ast
Shared parameter models for the joint analysis of longitudinal data and event times.
@en
prefLabel
Shared parameter models for the joint analysis of longitudinal data and event times.
@ast
Shared parameter models for the joint analysis of longitudinal data and event times.
@en
P2093
P356
P1476
Shared parameter models for the joint analysis of longitudinal data and event times.
@en
P2093
Edward F Vonesh
Mark D Schluchter
Tom Greene
P304
P356
10.1002/SIM.2249
P407
P577
2006-01-01T00:00:00Z