ArticleJournal of clinical epidemiology2022
Joint modeling of endpoints can be used to answer various research questions in randomized clinical trials.
Article in Journal of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Joint modelling on clinical trials in clinical journals: a systematic review.BMC medical research methodology · 2026Pooled it
- Tacrolimus Exposure is Associated with Acute Rejection in the Early Phase After Kidney Transplantation: A Joint Modeling Approach.Therapeutic drug monitoring · 2025Trial
- Association between urea trajectory and protein dose in critically ill adults: a secondary exploratory analysis of the effort protein trial (RE-EFFORT).Critical care (London, England) · 2024Trial
- Comparing Missing Data Strategies for Generalized Pairwise Comparisons in Randomized Clinical Trials: A Simulation Study.Statistics in medicine · 2026Article
- Evaluating the application of dynamic prediction models in oncological prognostic studies with repeated measurement predictors.NPJ precision oncology · 2025Article
- Handling rescue therapy in myasthenia gravis clinical trials: why it matters and why you should care.Annals of clinical and translational neurology · 2025Review
- Predicting progression-free survival from measurable residual disease in chronic lymphocytic leukemia.Clinical and translational science · 2024Article
- Exploring flexible polynomial regression as a method to align routine clinical outcomes with daily data capture through remote technologies.BMC medical research methodology · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectivesCorrelated longitudinal and time-to-event outcomes, such as the rate of cognitive decline and the onset of Alzheimer's disease, are frequent (co-)primary and key secondary endpoints in randomized clinical trials (RCTs). Despite their biological associations, these types of data are often analyzed separately, leading to loss of information and increases in bias. In this paper, we set out how joint modeling of longitudinal and time-to-event endpoints can be used in RCTs to answer various research questions. STUDY DESIGN AND
settingThe key concepts of joint models are introduced and illustrated for a completed trial in amyotrophic lateral sclerosis.
resultsThe output of a joint model can be used to answer different clinically relevant research questions, where the interpretation of effect estimates and those obtained from conventional methods are similar. Albeit joint models have the potential to overcome the limitations of commonly used alternatives, they require additional assumptions regarding the distributions, as well as the associations between two endpoints.
conclusionImproving the uptake of joint models in RCTs may start by outlining the exact research question one seeks to answer, thereby determining how best to prespecify the model and defining the parameter that should be of primary interest.
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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.