ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2018
Accommodating informative dropout and death: a joint modelling approach for longitudinal and semi-competing risks data.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Guideline-Directed Medical Therapy Attainment and Outcomes in Dialysis-Requiring Versus Nondialysis Chronic Kidney Disease in the ISCHEMIA-CKD Trial.Circulation. Cardiovascular quality and outcomes · 2022Trial
- Smoking hot joint models for attrition bias-XMAR-ks the spot.American journal of epidemiology · 2026Article
- A Bayesian semiparametric approach for inference on the population partly conditional mean from longitudinal data with dropout.Biostatistics (Oxford, England) · 2023Article
- Article
- Modeling the underlying biological processes in Alzheimer's disease using a multivariate competing risk joint model.Statistics in medicine · 2022Article
- Shared parameter and copula models for analysis of semicontinuous longitudinal data with nonrandom dropout and informative censoring.Statistical methods in medical research · 2022Article
- Trajectories of Structural Disease Progression in Knee Osteoarthritis.Arthritis care & research · 2021Observational
- Predictors of attrition in a longitudinal population-based study of aging.International psychogeriatrics · 2021Article
- Bayesian semi-parametric G-computation for causal inference in a cohort study with MNAR dropout and death.Journal of the Royal Statistical Society. Series C, Applied statistics · 2021Article
- Assessing Importance of Biomarkers: a Bayesian Joint Modeling Approach of Longitudinal and Survival Data with Semicompeting Risks.Statistical modelling · 2021Article
- Cognition-Mortality Associations Are More Pronounced When Estimated Jointly in Longitudinal and Time-to-Event Models.Frontiers in psychology · 2021Article
- A Likelihood Based Approach for Joint Modeling of Longitudinal Trajectories and Informative Censoring Process.Communications in statistics: theory and methods · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Both dropout and death can truncate observation of a longitudinal outcome. Since extrapolation beyond death is often not appropriate, it is desirable to obtain the longitudinal outcome profile of a population given being alive. We propose a new likelihood-based approach to accommodating informative dropout and death by jointly modelling the longitudinal outcome and semi-competing event times of dropout and death, with an important feature that the conditional longitudinal profile of being alive can be conveniently obtained in a closed form. We use proposed methods to estimate different longitudinal profiles of CD4 count for patients from the HIV Epidemiology Research Study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.