Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

An improved model for disease progression in patients from the Alzheimer's disease neuroimaging initiative.

Journal of clinical pharmacology - 1 May 2012

Samtani Mahesh N, Farnum Michael, Lobanov Victor, Yang Eric, Raghavan Nandini, Dibernardo Allitia, Narayan Vaibhav

Abstract excerpt

The objective of this analysis was to develop a semi-mechanistic nonlinear disease progression model using an expanded set of covariates that captures the longitudinal change of Alzheimer's Disease Assessment Scale (ADAS-cog) scores from the Alzheimer's Disease Neuroimaging Initiative study that consisted of 191 Alzheimer disease patients who were followed for 2 years. The model describes the rate of progression...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Apolipoprotein E4
Share to Cholesterol

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cognition

Share to Databases, Factual

Share to Linear Models

Share to Neuroimaging

Share to Neuropsychological Tests

Share to Nonlinear Dynamics

Source

Identifiers

PMID: 21659625
DOI: 10.1177/0091270011405497

Genes

APOE

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An improved model for disease progression in patients from the Alzheimer's disease neuroimaging initiative.PMID 21659625Read ↗

An updated Alzheimer's disease progression model: incorporating non-linearity, beta regression, and a third-level random effect in NONMEM.Semantic proximity Read ↗

Computational Causal Modeling of the Dynamic Biomarker Cascade in Alzheimer’s DiseaseSemantic proximity Read ↗

Computational Risk Stratification of Preclinical Alzheimer’s in Younger AdultsSemantic proximity Read ↗

Predicting Progression & Cognitive Decline in Amyloid-Positive Patients with Alzheimer's DiseaseSemantic proximity Read ↗

Dynamic Individual Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer’s Disease using Joint ModelingSemantic proximity Read ↗

Genetic drivers of progression in Alzheimers disease are distinct from disease riskSemantic proximity Read ↗

Progression of cognitive, functional, and neuropsychiatric symptom domains in a population cohort with Alzheimer dementia: the Cache County Dementia Progression study.Semantic proximity Read ↗

Nonlinear biomarker interactions in conversion from Mild Cognitive Impairment to Alzheimer’s diseaseSemantic proximity Read ↗

Genetic drivers of progression in Alzheimer's disease are distinct from disease risk.Semantic proximity Read ↗

Learning a Continuous Progression Trajectory of Amyloid in Alzheimer diseaseSemantic proximity Read ↗

Quantifying natural amyloid plaque accumulation in the continuum of Alzheimer’s disease using ADNISemantic proximity Read ↗

Machine learning on longitudinal multi-modal data enabling the understanding and prognosis of Alzheimer’s disease progressionSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.