ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2014
Estimating long-term multivariate progression from short-term data.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 2 of them syntheses that pooled it.
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Who cites it
104 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk of conversion to mild cognitive impairment or dementia among subjects with amyloid and tau pathology: a systematic review and meta-analysis.Alzheimer's research & therapy · 2024Pooled it
- The preclinical Alzheimer cognitive composite: measuring amyloid-related decline.JAMA neurology · 2014Pooled it
- From Biomarker Anchors to Disease-State Transitions: A Biologically Anchored Probabilistic Principal Component Analysis Framework for Alzheimer's Disease Progression Modeling.Neurology and therapy · 2026Article
- A Multimodal Latent Severity Axis for Alzheimer's Disease: Probabilistic PCA, Bayesian Trajectories, and Stage-Aware Timing Effects.Neurology and therapy · 2026Article
- FastEBM: Fast, Scalable, and Uncertainty-Aware Event-Based Disease Progression Modeling.bioRxiv : the preprint server for biology · 2026Article
- Estimating the time course of biomarker changes in Alzheimer's disease.Brain : a journal of neurology · 2026Article
- Dysfunction of the episodic memory network in the Alzheimer's disease cascade.Nature communications · 2026Article
- Neuro-Dynamic Quantitative Systems Pharmacology (QSP) model describing Alzheimer's disease pathophysiology and treatment effects.NPJ systems biology and applications · 2026Article
- Association of albumin trajectories and cumulative exposure with in-hospital mortality in acute pancreatitis: a retrospective cohort study.International journal of surgery (London, England) · 2026Article
- Probabilistic clustering using shared latent variable model for assessing Alzheimer's disease biomarkers.Biostatistics (Oxford, England) · 2025Article
- Modeling Alzheimer's Disease Biomarkers' Trajectory in the Absence of a Gold Standard Using a Bayesian Approach.Statistics in medicine · 2025Article
- Structural Neuroimaging Markers of Dementia: Insights from ROC Curve Analysis.Research square · 2025Article
- Clinical progression on CDR-SB©: Progression-free time at each 0.5 unit level in dominantly inherited and sporadic Alzheimer's disease populations.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Balancing practicality and complexity in neuroimaging models of Parkinson's disease progression.NPJ Parkinson's disease · 2025Article
- Stage-Aware Event-Based Modeling (SA-EBM) for Disease Progression.Proceedings of machine learning research · 2025Article
- Mixture Disease Progression Model to Predict and Cluster the Long-Term Trajectory of Cognitive Decline in Alzheimer's Disease.Therapeutic innovation & regulatory science · 2025Article
- A data-driven model of disability progression in progressive multiple sclerosis.Brain communications · 2025Article
- Dynamic changes in peripheral blood lymphocyte trajectory predict the clinical outcomes of sepsis.Frontiers in immunology · 2025Article
- The temporal dynamics and clinical relevance of choroid plexus measures in multiple sclerosis.Brain communications · 2025Article
- Disease Progression Modeling and Stratification for detecting sub-trajectories in the natural history of pathologies: Application to Alzheimer's disease trajectory modeling.Imaging neuroscience (Cambridge, Mass.) · 2025Article
44 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
Abstract
motivationDiseases that progress slowly are often studied by observing cohorts at different stages of disease for short periods of time. The Alzheimer's Disease Neuroimaging Initiative (ADNI) follows elders with various degrees of cognitive impairment, from normal to impaired. The study includes a rich panel of novel cognitive tests, biomarkers, and brain images collected every 6 months for as long as 6 years. The relative timing of the observations with respect to disease pathology is unknown. We propose a general semiparametric model and iterative estimation procedure to estimate simultaneously the pathological timing and long-term growth curves. The resulting estimates of long-term progression are fine-tuned using cognitive trajectories derived from the long-term "Personnes Agées Quid" study.
resultsWe demonstrate with simulations that the method can recover long-term disease trends from short-term observations. The method also estimates temporal ordering of individuals with respect to disease pathology, providing subject-specific prognostic estimates of the time until onset of symptoms. When the method is applied to ADNI data, the estimated growth curves are in general agreement with prevailing theories of the Alzheimer's disease cascade. Other data sets with common outcome measures can be combined using the proposed algorithm. AVAILABILITY: Software to fit the model and reproduce results with the statistical software R is available as the grace package. ADNI data can be downloaded from the Laboratory of NeuroImaging.
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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.