ReviewClinical kidney journal2020
An introduction to joint models-applications in nephrology.
Review in Clinical kidney journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Diminished plasma levels of GPIb-Frontiers in medicine · 2026Trial
- Comparing rosuvastatin and atorvastatin on cardiovascular and kidney outcomes in patients with diabetes across chronic kidney disease stages: an emulated target trial in China.EClinicalMedicine · 2026Article
- Dynamic mortality predictions from serum albumin in dialysis patients using robust joint models with competing risks.Scientific reports · 2025Article
- eGFR slope as predictor of mortality in heart failure patients.ESC heart failure · 2025Article
- Emerging technologies for early risk stratification and precision management of diabetic kidney disease: a multimodal framework integrating digital phenotypes and clinical biomarkers.Frontiers in endocrinology · 2025Review
- Joint modeling of longitudinal health-related quality of life during concurrent chemoradiotherapy period and long-term survival among patients with advanced nasopharyngeal carcinoma.Radiation oncology (London, England) · 2024Article
- Predicting progression-free survival from measurable residual disease in chronic lymphocytic leukemia.Clinical and translational science · 2024Article
- Investigating the Association Between Dynamic Driving Pressure and Mortality in COVID-19-Related Acute Respiratory Distress Syndrome: A Joint Modeling Approach Using Real-Time Continuously-Monitored Ventilation Data.Critical care explorations · 2024Article
- Associations between modifiable risk factors and cognitive function in middle-aged and older Chinese adults: joint modelling of longitudinal and survival data.Frontiers in public health · 2024Article
- Understanding patient needs and predicting outcomes in IgA nephropathy using data analytics and artificial intelligence: a narrative review.Clinical kidney journal · 2023Review
- Diagnostic performance and longitudinal analysis of fungal biomarkers in COVID-19 associated pulmonary aspergillosis.Heliyon · 2023Article
- Association of eGFR and mortality with use of a joint model: results of a nationwide study in Iceland.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023Article
- Long-term peridialytic blood pressure changes are related to mortality.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023Article
- Incidence and Risk Factors for Pruritus in Patients with Nondialysis CKD.Clinical journal of the American Society of Nephrology : CJASN · 2023Article
- Association of Intra-individual Differences in Estimated GFR by Creatinine Versus Cystatin C With Incident Heart Failure.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022Article
- Individual dynamic prediction and prognostic analysis for long-term allograft survival after kidney transplantation.BMC nephrology · 2022Article
- Joint modeling of endpoints can be used to answer various research questions in randomized clinical trials.Journal of clinical epidemiology · 2022Article
- A workflow for the joint modeling of longitudinal and event data in the development of therapeutics: Tools, statistical methods, and diagnostics.CPT: pharmacometrics & systems pharmacology · 2022Article
- Associations between depressive symptoms and disease progression in older patients with chronic kidney disease: results of the EQUAL study.Clinical kidney journal · 2022Article
- Temporal evolution of C-reactive protein levels and its association with the incident hospitalization risk among individuals with stage 3-4 chronic kidney disease.International urology and nephrology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In nephrology, a great deal of information is measured repeatedly in patients over time, often alongside data on events of clinical interest. In this introductory article we discuss how these two types of data can be simultaneously analysed using the joint model (JM) framework, illustrated by clinical examples from nephrology. As classical survival analysis and linear mixed models form the two main components of the JM framework, we will also briefly revisit these techniques.
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